Summary:  Discover the top tech trends of 2025 — from AI in semiconductors to battery storage. Explore new IEEE Learning Network courses that help you prepare for 2026.

A Year of Rapid Change

As 2025 comes to a close, the pace of innovation has accelerated across every major industry. AI reshaped semiconductor manufacturing. Battery storage technologies advanced faster than expected. Power systems grew more intelligent and resilient. And large language models continued to redefine how engineers design, test, and communicate.

These shifts aren’t isolated events. Instead, they point directly to what professionals will need to understand in 2026. By tracking these trends now, you can apply the latest engineering practices with confidence. This way, you can stay competitive in a fast‑moving landscape.

Below, you’ll find the most influential tech trends of 2025 — each paired with a new IEEE Learning Network course developed by IEEE Educational Activities and partners across IEEE. These are designed to help you build the skills that matter most for the year ahead.

AI Applications in Semiconductor Packaging

Semiconductor packaging plays a critical role in device reliability and performance. In 2025, AI began transforming packaging workflows by improving failure prediction, lifecycle modeling, and performance analysis. These tools now deliver insights that traditional methods simply can’t match. 

Why it matters: AI-enabled packaging boosts reliability. As devices become smaller and more complex, packaging challenges grow. AI helps engineers solve these challenges with greater speed and precision, strengthening both product quality and supply chain resilience.

AI Applications in Semiconductor Packaging: Developed in partnership with the IEEE Electronic Packaging Society, this course shows how AI enhances packaging reliability. Learners will compare traditional approaches with advanced predictive techniques. They will explore performance modeling and failure analysis. Learners will also learn how AI improves quality assurance and manufacturing efficiency.

Mastering AI Integration in Semiconductor Manufacturing

Beyond packaging, AI is reshaping semiconductor production from end to end. In 2025, factories expanded their use of AI-driven systems that combine IoT sensors, edge computing, and predictive analytics. These tools now monitor processes in real time and help engineers optimize production faster than ever. 

Why it matters: AI scales manufacturing intelligence. When every stage of production becomes smarter, manufacturers reduce defects, improve yield, and accelerate innovation. This shift is essential for staying competitive in a global market.

Mastering AI Integration in Semiconductor Manufacturing: Developed in partnership with the IEEE Computer Society, this program provides a comprehensive roadmap for engineers and professionals. It covers AI fundamentals, data handling, and advanced techniques for integrating AI into semiconductor manufacturing. Learners explore case studies on process optimization, production efficiency, and quality assurance. They gain practical insights into how IoT sensors and edge computing can transform manufacturing environments. By the end, participants will be equipped with the skills to design and implement AI‑driven solutions. This enhances productivity and reliability in semiconductor production.

AI for Power and Energy Systems: Applications, Challenges, and Opportunities

Power systems grew more complex in 2025 as renewable energy, distributed generation, and smart grid technologies expanded worldwide. AI, especially convolutional neural networks (CNNs), helped solve challenges such as power flow analysis, fault detection, and grid stability.

Why it matters: AI strengthens grid resilience. Smarter power systems support sustainability goals while protecting communities from disruptions.

AI for Power and Energy Systems: Applications, Challenges, and Opportunities: Developed with the IEEE Power & Energy Society, this course explores how AI techniques can be applied to real‑world power system problems. Learners gain exposure to case studies, security challenges, and opportunities for grid modernization. They examine how AI can optimize performance, improve reliability, and support the transition to cleaner energy. 

Battery Energy Storage Technologies and Applications

Energy storage became even more essential in 2025. Advances in battery chemistry, safety standards, and sector‑specific applications accelerated adoption across transportation, utilities, and industrial systems.

Why it matters: Storage drives sustainability. Batteries enable consistent, reliable energy from renewable sources like solar and wind. As electrification expands, storage becomes the backbone of resilient, low‑carbon infrastructure.

Battery Energy Storage Technologies and Applications: Created with the IEEE Power & Energy Society, this program provides a deep dive into the fundamentals of battery chemistry and design. It explores applications across sectors such as transportation and grid integration. Furthermore, it examines technical considerations including safety standards, lifecycle management, and advanced developments in next‑generation storage systems. Learners gain practical insights into how battery technologies are shaping the future of sustainable energy. They also learn how to apply these concepts to real‑world engineering challenges.

From Research to Publication: Technical Writing for Engineers

Scientific breakthroughs only have impact when they’re communicated clearly. In 2025, the rise of Generative AI and increasingly complex research made strong technical writing skills more important than ever. Engineers must understand the conventions of scientific publishing to ensure their work is understood, cited, and applied.

Why it matters: Clear writing amplifies impact. Strong communication turns ideas into knowledge that shapes industries and advances society.

From Research to Publication: A Step‑by‑Step Guide to Technical Writing: Developed with the IEEE Professional Communication Society, introduces the methods and traditions of writing technical and scientific articles. It focuses on formats used in IEEE journals. Learners gain practical guidance, supplemental materials to refine their skills, and insights into leveraging Generative AI effectively in the writing process.

Large Language Models: Understanding Transformer Architectures

Transformers remained the foundation of modern AI in 2025. Engineers needed to understand not only how transformers work, but also why their design — including self‑attention, multi‑head attention, positional encoding, and residual connections — enables massive scalability.

Why it matters: Transformers are the core of today’s AI systems. Mastering them prepares professionals to design, evaluate, and deploy advanced models responsibly.

Large Language Models: Understanding Transformer Architectures: A deep dive course into the original transformer model. It was developed in partnership with the IEEE Computer Society. Learners explore each core component of the architecture and examine how transformers overcame the limitations of recurrent neural networks (RNNs). They gain insight into how these innovations enable today’s large‑scale language models.

Large Language Models: Evolution, Impact, and Hands‑On Exercises

Language models evolved rapidly in 2025, moving from statistical methods to advanced transformer‑based systems like LLaMA 3. Engineers now need both theoretical understanding and practical skills to apply these models responsibly.

Why it matters: Practical LLM skills drive real‑world impact. Understanding model evolution, optimization, and risk mitigation helps professionals use AI effectively and ethically.

Large Language Models: Evolution, Impact, and Hands‑On Exercises: Developed in partnership with the IEEE Computer Society, this course traces the progression of language models from statistical approaches to modern transformer architectures. Learners explore milestones in AI development and examine real‑world applications. They also gain practical experience through a hands‑on gradient descent exercise on model optimization. By combining historical context with applied practice, the course equips participants to understand both the opportunities and challenges of deploying LLMs in engineering and technology.

Looking Ahead to 2026

The trends of 2025 laid the foundation for what comes next. In 2026, expect deeper AI integration in manufacturing, wider adoption of battery storage, and continued advances in power systems and language models. By investing in your skills today, you position yourself to lead tomorrow’s innovations.

Summary: Artificial intelligence is reshaping industries, yet a persistent AI skills gap limits workforce readiness. IEEE’s AI training and professional development programs bridge this divide, empowering employees and organizations to harness AI for innovation, efficiency, and growth.

AI isn’t just transforming technology, it’s revolutionizing how we work, innovate, and compete in the global marketplace. Yet despite AI’s growing prominence, a significant AI skills gap persists across industries. Many professionals and organizations are left struggling to harness AI’s full potential through effective AI education and professional development.

The AI Adoption Paradox in Professional Development

Recent research highlights a striking disconnect: while technology leaders identify AI as the most critical technology for 2025, most employees remain unclear on how to integrate AI tools into daily workflows. This gap represents both a challenge and an unprecedented opportunity for organizations seeking comprehensive AI training solutions.

IEEE’s global study, The Impact of Technology in 2025 and Beyond, surveyed 350 technology leaders—including CIOs, CTOs, and IT directors—and paints a compelling picture of AI’s strategic importance for workforce development. More than half ranked AI technologies, encompassing predictive and generative AI, machine learning, and natural language processing, as their top priority entering 2025.

The enthusiasm is backed by action: 

  • 20% of respondents regularly use generative AI in business applications, citing tangible operational value
  • 24% acknowledge AI’s benefits and plan to explore practical applications through structured AI education programs
  • 30% have high expectations and intend to experiment with smaller-scale AI training initiatives

Yet, this executive-level confidence doesn’t translate to the broader workforce.

Research shows that 84% of employees lack clarity about what generative AI is or how it functions in professional settings.

At the same time, 77% of workers feel inadequately trained in AI tools and remain uncertain about how artificial intelligence applies to their roles.

This disconnect creates a critical bottleneck: organizations eager to embrace AI transformation but lacking the skilled workforce to execute their vision.

The Strategic Imperative for AI Education and Skills Development

The stakes couldn’t be higher for professional AI training. Organizations that strategically deploy AI through professional training are positioned to significantly outperform competitors in growth, efficiency, and innovation.

Effective AI implementation enables companies to:

  • Make informed, data-driven decisions
  • Optimize resource allocation
  • Deliver personalized customer experiences
  • Streamline project management

Business leaders who understand AI’s capabilities and limitations through structured AI training will be better equipped to navigate the competitive landscape ahead.

However, the question isn’t whether to invest in AI education and professional development, it’s how to do it effectively and at scale through proven AI training programs.

IEEE AI Training and Professional Development

To address this critical skills gap, IEEE Educational Activities has developed a robust AI education ecosystem that bridges the divide between AI’s potential and practical implementation. These targeted AI training courses ensure employees gain both cutting-edge knowledge and hands-on skills to drive innovation.

Each course provides:

  • Professional development credits (PDHs and CEUs)
  • Shareable digital badges to showcase verified AI proficiency
Featured AI Training Programs
Advanced AI Training for Leaders

For organizations and individuals seeking comprehensive AI leadership development, IEEE has partnered with Rutgers University to launch the IEEE | Rutgers Online Mini-MBA: Artificial Intelligence program. This intensive AI education offering goes beyond technical training to address strategic AI implementation, helping participants understand how to leverage artificial intelligence for specific industries and job functions.

The mini-MBA program equips learners with advanced AI training to strategically address business challenges, optimize processes, maximize data effectiveness, enhance customer service, and drive overall organizational success through AI education. With both individual access and company-specific cohorts available, organizations can customize AI training experiences to meet their unique professional development needs.

Driving Innovation Through AI Skills Development

Whether you’re an experienced professional expanding your AI expertise or an organization looking to transform workforce capabilities, IEEE’s AI training programs provide the foundation for sustained innovation and growth.

Learn more about IEEE’s corporate solutions and professional development opportunities in artificial intelligence.

Microcredentials offer learners an accessible and affordable way to gain and market industry-recognized technical skills that provide pathways into new opportunities. 

Emerging technologies like blockchain, artificial intelligence, and robotics are creating a global demand for skilled technicians to fill critical roles. While many of these positions require specific skills, they don’t always demand a two or four-year degree. This is where skills-based microcredentials come in.

Microcredentials are a relatively new type of credential that represent the mastery of specific skills in a learning program. In order to earn them, learners must demonstrate the skill through a skills validation assessment. They can be “stacked” to show a growing skillset in a defined area, allowing learners to earn several microcredentials in one program. Microcredentials are also verifiable and digitally shareable, highlighting the skills learners have acquired for potential employers. 

Providing new pathways into technical careers 

It’s important to understand where skills-based microcredentials fall in the wider scope of credentials earned through learning programs. Microcredentials remove barriers to entry in technical fields by offering a more accessible path for learners compared to traditional degrees, as they require less time and financial investment. They allow aspiring technical professionals to quickly gain and demonstrate the specific knowledge, skills, and abilities needed to secure entry-level opportunities. Additionally, microcredentials provide paths for advancement by enabling working professionals to upskill their current abilities or reskill into new areas.

Skills-based microcredentials provide new pathways into technical careers in three ways: 

  1. Skilling: Pathways to entry-level opportunities  

Microcredentials can help new workers build and demonstrate the knowledge, skills, and abilities needed for technical entry-level positions. Unlike broader two- or four-year degrees, microcredentials focus on the specific competencies of the role, significantly reducing the time and cost for a learner to become job-ready. 

  1. Upskilling: Pathways to advanced opportunities 

For current technical professionals, microcredentials enable continuous professional development by allowing learners to quickly upskill, or acquire new, specialized skills to meet an organization’s needs or new career opportunities. 

  1. Reskilling: Pathways to Emerging Industry Careers  

As technology evolves, certain jobs may change or even become obsolete while new ones emerge. Microcredentials offer a swift and agile pathway for career transition, enabling professionals to proactively reskill for evolving business needs or opportunities in emerging technical fields.

Getting Started 

More universities and training organizations are starting to offer microcredentials because of the value they provide for learners and industry, but their quality and definitions can vary. This makes it challenging for students to understand the true value of the microcredential. 

With over 30 years of experience, IEEE has the credibility and infrastructure to offer trusted verification of skills-based microcredentials. We partner with industry leaders, training providers, and conference organizers to validate training programs and issue verified professional credentials that meet rigorous industry standards.

Newest eLearning offering Credentials

In addition to skills-based microcredentials, IEEE Educational Activities is offering a variety of new online courses. When you successfully complete courses offered by IEEE Educational Activities, you’ll earn continuing education credits that can be used towards maintaining your Professional Engineer license. Plus, you can also earn digital badges from course programs to display on your LinkedIn profile, highlighting your commitment for professional growth to potential employers.

AI and Chip Technology

  • AI Applications in Semiconductor Packaging:
    Explore how AI is transforming semiconductor packaging reliability, contrasting traditional methods with advanced techniques for performance prediction, failure analysis, and lifecycle optimization.
  • Artificial Intelligence and Machine Learning in Chip Design:
    In this program, learners will gain comprehensive knowledge of AI and machine learning applications in chip design and EDA tools, exploring high-value use cases, relevant technologies, and implementation strategies to improve product quality and design efficiency. Learners will also understand how these advances are fundamentally transforming chip design methodologies and prepare for future developments in the field.
  • Integrating Edge AI and Advanced Nanotechnology in Semiconductor Applications:
    This course series explores the intersection of AI, edge computing, and nanotechnology through five connected courses. Learners will cover foundational concepts, nanomagnetic logic, semiconductor innovations, real-world applications, and future system architecture, gaining comprehensive skills in Edge AI Nanoinformatics for modern computing environments.
  • Mastering AI Integration in Semiconductor Manufacturing:
    In this course, learners will explore how AI is revolutionizing semiconductor manufacturing by examining fundamental AI integration concepts, data collection techniques, process optimization methods, and supply chain applications. Participants will gain practical skills to implement AI strategies that enhance production efficiency, improve product quality, and make data-driven decisions within their organizations.

Technology and Infrastructure

  • Battery Energy Storage Technologies and Applications:
    This comprehensive program offers an in-depth exploration of battery storage technologies, covering fundamental concepts, applications across various sectors, technical design, safety regulations, and advanced developments in transportation applications.
  • IEEE 802.11ax: An Overview of High-Efficiency Wi-Fi (Wi-Fi 6):
    This course explores IEEE 802.11ax (Wi-Fi 6) technology, covering PHY layer innovations (day one) and MAC layer advancements (day two). Learners will examine how 802.11ax achieves higher efficiency and improved performance in dense wireless environments through better spectrum utilization, flexible multi-access schemes, and enhanced interference management.

Data and Digital Strategy

  • Machine Learning: Predictive Analysis for Business Decisions:
    In this course, learners will gain an overview of machine learning types and applications for enterprise data analysis, while mastering the technical vocabulary and high-level concepts needed to effectively deploy machine learning solutions in business operations.
  • Protecting Privacy in the Digital Age:
    In this course, learners will gain a comprehensive understanding of digital privacy, including how to operationalize privacy in organizations, engineer privacy into systems, make privacy usable for end users, and address emerging technological challenges to privacy. This program addresses the critical need for privacy protection in our increasingly digitized world where technological innovations pose growing risks to personal information security.

Check out more eLearning Courses that offer digital credentials on the IEEE Learning Network. 

Read more about different types of credentials and how they can advance your career here.

September brings two powerful reminders of the value of continuous learning and the people who make it possible: Online Learning Day (September 15) and IT Professionals Day (September 16).

While these observances originated in the U.S., their impact is universal. In today’s digital-first world, accessible learning and skilled technical professionals are essential everywhere, and IEEE is proud to support that mission.

Why Online Learning Matters—Now More Than Ever

Online learning day celebrates how digital education breaks down barriers and expands access to knowledge. For engineers and technical professionals, it’s a reminder that learning is a lifelong journey—not a one-time event.

Online learning has transformed how professionals grow and adapt. It’s no longer a luxury—it’s a necessity. The global online education market is projected to reach $203.81 billion by the end of 2025, with over 1.12 billion users expected worldwide by 2029.

Learning retention rates increase by 25-60% through e-learning, compared to just 8-10% with traditional classroom instruction.

This dramatic improvement is largely due to the flexibility and control online learners have—they can revisit materials anytime, learn at their own pace, and reinforce concepts as needed.

Honoring IT Professionals: The Backbone of Innovation

IT Professionals Day recognizes the individuals who keep our digital infrastructure secure, efficient, and resilient. These professionals are essential to every industry, and their expertise drives innovation across borders.

According to forecasts from the U.S. Bureau of Labor Statistics, the U.S. tech workforce is projected to grow at twice the rate of the overall labor market over the next decade. This signals a powerful opportunity for IT and other technology professionals!

IEEE supports IT professionals globally through courses that address real-world challenges, from automotive cybersecurity to privacy protection in the digital age. ILN’s content is designed to meet the evolving needs of this critical workforce, wherever they are.

IEEE Learning Network: Online Courses for Engineers and Technical professionals

The IEEE Learning Network (ILN) is a trusted destination for engineers, technologists, and professionals seeking to upskill, stay ahead of emerging trends, and grow their careers. With hundreds of expert-led courses available on demand, ILN offers flexible, high-quality learning tailored to a global audience.

Why Choose ILN?

  • Learn directly from IEEE subject matter experts
  • Earn CEUs and PDHs for professional development
  • Explore trending topics like AI, cybersecurity, smart grid standards, and more
  • Access content anytime, anywhere – on your schedule

Celebrate with 25% Off Online Courses

In celebration of Online Learning Day and IT Professionals Day, IEEE is offering 25% off a curated selection of online courses designed to elevate your skills and expand your expertise.

From AI ethics to distributed energy resources, these courses are built for today’s technical professionals, no matter where they live or work.

Take 25% off select courses from 12–20 September using promo code ILN25 at checkout. Offer ends 20 September at 11:59 PM ET.

Featured course programs include:

Explore the full catalog at IEEE Learning Network and start your learning journey today.

Join us in celebrating lifelong learning and the professionals who power innovation around the world.

The New IEEE Innovation at Work Website is Live!

IEEE is proud to unveil the newly redesigned IEEE Innovation at Work (IAW) site—your centralized hub for professional development in engineering and technology.

Built for both individual learners and organizations, the IAW platform offers bold ideas, thought-provoking articles, and expert-led learning resources to help you stay ahead in today’s fast-paced tech landscape.

What You’ll Find on the New IAW Site:

  • A curated selection of eLearning courses on emerging technologies like AI, cybersecurity, and semiconductors
  • Insightful articles covering the latest trends and innovations in engineering
  • Career-boosting programs designed to help individuals and teams build their skills and credentials, such as the IEEE | Rutgers Online Mini-MBA for Engineers and IEEE Leading Technical Teams
  • Exclusive promotions and discounts on professional training
  • Free newsletter with updates on the latest courses, tech news, and virtual events

Designed for Engineers and Organizations

Whether you’re an engineer looking to upskill or a company seeking workforce training solutions, the new IAW site offers tailored pathways for every need. Access the full eLearning catalog or explore industry-specific resources, and find content aligned with your career or business goals—all in one place.

Why it Matters

IEEE Innovation at Work empowers professionals to thrive in a competitive, tech-driven world through flexible, accessible, and impactful learning. Visit the new site and start your journey toward career advancement today.

Explore now at IEEE Innovation at Work.

Electrostatic discharge (ESD) remains a costly and invisible threat in the electronics industry, posing significant risks to semiconductor reliability. According to the EOS/ESD Association, ESD occurs when a high electrostatic field triggers a rapid, spontaneous transfer of charge—often between objects with differing electrical potentials. This discharge, sometimes sparked by mere proximity, can severely damage sensitive electronic components.

Just 100 volts of ESD can destroy or degrade devices designed to operate at voltages as low as 1.2 volts.

As electronics become more compact and sensitive, the stakes grow higher—both in technical precision and financial loss. Industry estimates suggest ESD may account for up to 33% of all semiconductor failures during manufacturing and handling. 

Why ESD Threatens Semiconductor Reliability

Modern chips feature nanometer-scale circuitry and operate at ultra-low voltages, making them vulnerable to even minimal electrical overstress. ESD can cause immediate physical harm or introduce latent defects that trigger failures over time—jeopardizing product performance and customer trust.

The economic impact is substantial. EOS/ESD Association data reveals that electrostatic discharge damage costs range from a few cents for basic diodes to thousands of dollars for advanced integrated circuits. Once manufacturers factor in rework, labor, logistics, and overhead, these expenses quickly escalate. 

Understanding ESD is essential in design, testing, and equipment handling. Beyond physical damage, ESD incidents can tarnish brand reputation,” said Zachariah Peterson, IEEE member and executive consultant for Northwest Engineering Solutions.

“Being able to anticipate ESD gives engineers a decisive edge in building resilient products and robust business strategies.”

Protect Against ESD with IEEE’s Course Program

To address this challenge, IEEE offers its Practical ESD Protection Design Course Program—a hands-on training solution for engineers, technicians, and quality professionals seeking to enhance their ESD control programs.

Program Highlights:

  • Interactive Modules: Cover ESD theory, real-world applications, and mitigation strategies
  • Standards-Aligned Instruction: Includes ANSI/ESD S20.20 and other industry benchmarks
  • Professional Certification: Earn 89 PDHs and 8.9 CEUs upon course completion

Future-Proof Your Innovation

As technologies like AI, 5G, and edge computing surge forward, ESD control will be critical to sustaining high-performance, fault-tolerant systems. The margin for error is shrinking—making proactive ESD protection more vital than ever.

Investing in IEEE’s Practical ESD Protection Design Course isn’t just risk management—it’s a strategic move to elevate product reliability, brand credibility, and long-term success.

Learn more about the program today!

 

eLearning is transforming the way professionals advance in the modern workplace.

No classrooms, no boundaries, just unlimited access to learning opportunities. Whether it’s tuning in during a commute or diving into a weekend course, learners want to gain expert knowledge on their own terms. It’s a scalable solution that meets the demands of today’s ever-evolving industries.

Powering the Future of Professional Growth

eLearning empowers individuals to level up their careers, explore passions, and earn credentials that strengthen their résumés. Learners choose what to study, how they learn best, and when and where it fits into their lives.

In a world defined by innovation and constant connectivity, staying competitive means staying current. eLearning has become an essential tool for progressing in the workplace and standing out in competitive industries. It targets emerging trends and opens doors for learners of all ages and backgrounds.

With interactive tools, mobile access, and bite-sized content, eLearning fits seamlessly into fast paced lives-

making it not just convenient, but vital. According to IBM, learners absorb nearly 5x more material without spending more time in training.

Driving Confidence and Results

With every course completed, eLearners’ confidence grows alongside their impact. They begin to identify new opportunities, unlock untapped strengths, and reimagine how their roles can evolve. This constant growth and eagerness to learn results in a higher level of productivity among employees, which boosts engagement and increases job retention rates from 8-10%, up to 60%..

Unlock Lifelong Learning with IEEE

The IEEE Learning Network (ILN) is a global leader in eLearning for STEM and technology professionals. With over 1,880 courses from 44+ IEEE content partners, ILN helps individuals grow their careers and stay ahead in rapidly-changing fields such as AI, cybersecurity, semiconductors, data privacy, and more.

The demand for continuing education is evident. Since 2019, more than 700,000 learners from 190 countries have completed courses on ILN.

Upon completion, courses offer:

  • Digital Certificates
  • Continuing Education Units (CEUs)
  • Professional Development Hours (PDHs)
  • Shareable digital badges for LinkedIn profiles

Whether you are advancing your career or strengthening your organization’s workforce, IEEE’s eLearning solutions deliver flexible, practical, and future-forward learning.

In celebration of ILN’s sixth anniversary, IEEE is offering a special 50% discount on select courses using code ILN50:

Emerging Technologies
Networking, Privacy, and Security
Standards & Infrastructure

 

23 June 2025 marks the 12th annual International Women in Engineering Day, honoring the invaluable contributions made by women engineers worldwide.

Trailblazing Women in Engineering

Throughout history, women engineers have indelibly shaped STEM and society alike through groundbreaking innovations.

Among the world’s many notable pioneers, British engineer and mathematician Hertha Ayrton’s award-winning work in the late 1800s and early 1900s enabled a deeper understanding of electric arcs and ripple effects in sand and water.

American chemist and physicist Esther Conwell’s mid-late 20th century work on the properties of semiconductors and organic conductors helped establish the foundations of modern computing.

And after becoming the world’s first woman to earn a master’s degree in aeronautical engineering in 1929, Canada’s Elsie MacGill played a key role in designing and overseeing the production of over 1,400 Hawker Hurricane fighter planes. These aircraft proved pivotal to the defeat of the Axis powers during World War II.

Modern Day Achievements

More recently, Japan native and computer scientist Yoky Matsuoka, who has held high-level technology roles at Google, Apple, and Nest, conducted landmark research that combined the properties of both neuroscience and robotics. Through this unique approach – a field she named “neurobotics” — she worked to create more realistic prosthetics for amputees.

Britain’s Claire Tomlin, who has taught at Stanford University and the University of California, Berkeley, brought her expertise in aeronautics, astronautics, and electrical engineering to advance the development of unmanned aerial vehicles and air traffic control.

And Texas-based professor Naomi Halas’ research in nanotechnology and her invention of “nanoshells” – tiny glass particles with unique optical properties – holds tremendous promise for destroying cancerous tissue. Her efforts are revolutionizing biomedical imaging, photothermal therapy, and drug delivery.

Engage in Continuing Education and Support Women in Engineering

IEEE proudly supports and recognizes the many women engineers who are shaping the industry and inspiring the next generation of female leaders in engineering.

Below are just some of IEEE’s continuing education course opportunities that are led or feature content written by at least one female instructor.

Emerging Technologies
  • AI Standards: Roadmap for Ethical and Responsible Digital Environments:
    This five-course program, co-led by Eleanor ‘Nell’ Watson, a world-renowned machine intelligence researcher and expert on machine vision and AI ethics, offers a comprehensive approach to creating ethical and responsible digital ecosystems. Learn more about the course program>>
  • Introduction to Blockchain Technology
    Through in-depth case studies, a discussion of Bitcoin and its connection to blockchain-based technology, and an overview of the pros and cons of decentralization in blockchain technology, this three-hour course program will help learners understand how blockchain can transform their industry. The course is instructed by Morgen Peck, freelance technology journalist with years of experience covering Bitcoin and the blockchain technologies for IEEE Spectrum Magazine, Wired, Scientific American, American Banker, and others. Learn more about the course program>>
Computational & Engineering Methods
  • Finite Element Method for Photonics
    This five-hour course program provides a current and comprehensive account of FEM in photonics devices. With an emphasis on practical, problem-solving applications and real-world examples, learners will understand how mathematical concepts translate to computer code finite-element-based methods. Instructor Arti Agrawal is an Associate Professor in the School of Data and Electrical Engineering at the University of Technology Sydney. Learn more about the course program>>
  • High Performance Computing: Achieving Performance and Efficiency
    This course provides the context for current and near-future CPUs and GPUS as well as what developers will need to know when they program them. The course covers everything from the programming languages dominating the field of HPC to the architecture of parallel programming models and workflow management requirements in large-scale HPC environments. Co-instructor Barbara Chapman, Ph.D. is a Distinguished Technologist for the Cray Programming Environment at Hewlett Packard Enterprise (HPE), was a longtime Professor of Computer Science at Stony Brook University, and remains affiliated with the Department of Computer Science and the Institute for Advanced Computational Science. Learn more about the course program>>
Cybersecurity & Systems Reliability
  • Automotive Cyber Security: Protecting the Vehicular Network
    This five-course program covers automotive cyber security solutions and requirements for intelligent vehicles as well as the infrastructure of intelligent transportation systems. A contributing course instructor is Irish Singh, Ph.D., former Assistant Professor/Director of ReBlockchain Group at ECIS, Woosong University, South Korea and current faculty member at the Oregon Institute of Technology in Klamath Falls, Oregon, U.S. Learn more about the course program>>.
  • Software and Systems Engineering Standards: Life Cycle Processes
    This course shows systems engineers how to use IEEE standards for life cycle processes, understand life cycle and engineering process concepts, select and apply useful systems and software engineering standards, and employ special considerations for the critical programs of defense and aerospace. Instructor Annette Reilly, Ph.D., an active member of the ISO/IEC standards development committee for systems and software engineering, brings extensive field expertise to the topic based on her 31-year-career with Lockheed Martin and her roles as co-editor of ISO/IEC/IEEE 12207, Software engineering—Life cycle processes as well as editor or co-editor of 12 other standards. Learn more about the course program>>
Professional Skills & Communication
  • IEEE English for Technical Professionals
    This online 14-course program will help both professional engineers/technical professionals whose first language may not be English and native speakers alike to strengthen their English language skills through practical activities for reading, writing, and speaking. Instructors include Traci Nathans-Kelly, Ph.D., Director of the Engineering Communications Program at Cornell University, and Susan Matson, M.S., a Teaching Fellow for the U.S. Department of State in Eastern Europe as well as National Director of Curriculum for a multi-site Intensive English Program in the U.S. Learn more about the course program>>

Experts confirm that current and future needs for electricity may soon exceed our global supply. New AI-driven data centers, electric vehicle charging stations, energy-intensive manufacturing operations, and a growing volume of internet connections are placing an increasing strain on outdated electric grids. This looming reality has since challenged utilities, grid operators, technologists, and regulators to reconcile existing electric capacity with rising demand.

It subsequently comes as no surprise that interest in renewable energy sources and related green technologies continues to grow. These solutions reduce carbon footprints, enhance global sustainability, and combat the effects of climate change.

Energy industry professionals have been addressing the disparity between electric supply and demand in various ways. Solutions include everything from increasing overall reliance on renewable energy sources to employing IoT-enabled automation devices. These actions optimize electric distribution, reduce waste, and enhance overall electric efficiency, reliability, and performance.

A Green Energy Revolution

As utilities continue to integrate renewable energy sources into their mix, numerous engineering advancements are helping them meet energy supply targets and align with the United Nations’ Sustainable Development Goals for 2030.

In the solar power arena, scientists use a highly responsive family of crystalline compounds called perovskites to deliver more power from existing solar panel devices. Based on their ability to analyze massive amounts of real-world data, quantum computing and AI are also being harnessed to help achieve more efficient solar cell design. Thanks to these technological achievements, solar energy has become more affordable, with costs dropping by some 90% in the last decade. Based on this and other factors, the World Economic Forum predicts that solar power is on track to be the world’s dominant power source by 2050.

The Future of Sustainable Energy

Though wind turbines are currently a less prevalent source of renewable energy worldwide than solar power, advancements in these devices are similarly helping to make them more powerful, efficient, and accessible. An engineering team at England’s University of Birmingham recently used AI to test more than 2,000 different blade designs and “explore design possibilities beyond the scope of traditional human experimentation.” Their research led to the development of the ‘Birmingham Blade,’ an optimally shaped and weighted blade that’s up to seven times more efficient than existing designs. It is scheduled to be commercially available later this year. The computational powers of AI also accelerated the blade design process, reducing development time from years to weeks.

As a result of these and other breakthroughs in the green energy industry, renewable energy sources are growing globally. In 2024, all renewable energy sources combined – including wind, solar, hydropower, biomass, and geothermal – provided over 32% of the world’s electricity. This is nearly double the level that renewable sources represented 25 years earlier. In the U.S., the use of renewables accounted for over 24% of total electricity production in 2024, up 4% from 2023.

Smart Grid innovations

On top of the growing use of renewable energy sources, utilities are increasingly relying on intelligent “edge devices” to optimize electricity usage. This category includes the use of IoT-driven sensors and smart two-way meters. These devices provide continuous monitoring and enable real-time insights into grid conditions. By tracking each user’s energy consumption patterns, these smart devices promote informed decision-making. This allows utilities and users to optimize their energy usage and better integrate solar, wind, and other renewable sources into their energy portfolio. The additional ability to store this energy through battery energy storage systems (BESS) further helps to address supply shortfalls and stabilize/optimize the grid.

Transportation and Sustainability

Other technological developments are also making great strides towards reducing our global reliance on fossil fuels and combatting climate change. In the transportation sector, ongoing advancements in electric vehicle design, regenerative braking, and electric drive train technology continue to deliver instant power, greater efficiency, and zero tailpipe emissions relative to conventional internal combustion engines.

The world is responding in kind, with global sales of electric vehicles hitting a record 17 million in 2024 (a 25% growth over 2023 levels). This trend will continue to reduce the world’s carbon footprint. According to the European Environment Agency (EEA), electric vehicles emit 30% less greenhouse gases than traditional gasoline-fueled cars. Their lifecycle emissions could decrease by at least 73% by 2050. In the U.S. alone, experts believe that the widespread use of EVs will lower the country’s CO2 pollution by two-thirds.

IEEE Climate Change eLearning Courses

As a globally recognized professional organization that plays a key role in shaping the fields of electrical engineering, electronics, and computer science, IEEE is committed to using its expertise and resources to foster technology for a sustainable climate.

To address growing concerns about climate change, IEEE offers a broad range of eLearning resources. These courses focus specifically on climate change and its impact across various industries, including:

Explore these courses on the IEEE Learning Network, or request institutional access today.

AI is considered one of the most significant technological advancements in modern history and one that is having a major impact on every industry around the globe. The ability to understand AI applications and harness them to achieve next-level growth and operational success is key to true business innovation in every field.

Transforming the Face of Modern Business

The use of AI is bringing a new level of speed, efficiency, and productivity to a broad range of industry sectors and business functions.

From a product development perspective, AI accelerates development cycles and speed to market by analyzing market trends and consumer feedback, enabling companies to innovate faster and stay ahead of the competition. Through their ability to help automate tasks, analyze data, and optimize designs, AI tools ultimately support faster time-to-market for products.

In manufacturing and logistics, AI helps automate routine tasks, optimize supply chains, and manage inventory more effectively, allowing businesses to reduce operational costs and improve efficiency and productivity. According to a recent survey of international manufacturers, nearly 70% are already using AI solutions for everything from quality control and demand forecasting to predictive maintenance that enables them to proactively schedule equipment repairs before they result in costly downtime. BMW relies on AI algorithms to automate quality processes along its conveyor belt, while General Electric’s AI software helps the company employ its manufacturing resources more efficiently in order to achieve its sustainability goals.. 

The Future of AI in Business

In the field of enterprise security, AI helps companies protect data privacy and learn, adapt to, and stay ahead of cybersecurity threats. A recent Forbes study revealed that 51% of business owners surveyed are using AI to shore up their cybersecurity and fraud management activities. For example, Mastercard’s use of AI tools to scan payment data from partner banks helped the company avoid more than US$35 million in fraudulent payments over three years. Also, Amazon’s use of AI to analyze the nearly 750 million cyberattack incidents it logs daily enables the company to identify growing threats.

In the customer service arena, AI-powered chatbots and virtual assistants provide instant responses and create personalized experiences. Companies like Amazon, Walmart, Netflix, and South Korean video game developer Krafton are already streamlining their service processes and bringing greater depth to their customer interactions by offering personalized product recommendations, custom-optimizing search and browsing, more efficient customer service, and improved supply chain operations.

The significance of AI to business and the job market is clear, and while the debate over the proliferation of AI continues, one thing remains certain:

“AI will not replace humans. But those who use AI will replace those who don’t.”

-Ginni Rometty, former CEO of IBM

Let IEEE Help You Unleash the Power of AI for Yourself and Your Organization

Despite its integration into our daily lives, studies show that AI remains a source of confusion for many people. But given the widespread use of AI applications across so many industries, it’s crucial for business managers and other industry professionals to have a solid understanding of AI principles and their impact on business functions. The real challenge, and the ultimate success, doesn’t come from just learning about this transformative new technology, but from applying it effectively in your business.

Check out AI resources from IEEE to help you get up to speed on what you need to know:

The IEEE | Rutgers Online Mini-MBA: Artificial Intelligence Program is designed to demystify AI for business managers and leaders of all levels of understanding and experience with AI, providing them with the strategic insights needed to leverage AI effectively.

The program offers a non-IT view of AI and provides the foundational knowledge to assess AI’s analytical and decision-making capabilities. Learners explore how AI can be used to address business pain points, optimize processes, better serve customer needs, and improve an organization’s bottom line. The specialized 12-week course offers engaging real-world case studies, practical insights, forward-thinking ideas, and an invaluable Capstone Project, where learners will be able to complement their technical skills with a strategic, business view of AI and its real-world applications for themselves and their organizations.

Gain the expertise to navigate the complexities of AI in order to seamlessly integrate it into your operations, transform technological potential into a competitive edge, and innovate with impact. Learn more!

More eLearning courses on AI:

AI Strategy
AI in Semiconductors