The Best Generative AI Courses Money Can Buy (2024)

Whether you want to improve your current skills or transition into one of the many new jobs being created thanks to AI, understanding how to use generative AI can benefit just about anyone.

Last year, I published a list of the best free resources I’ve found online for developing practical AI skills. This time, I’ve put together a list of paid courses for those ready to make an investment in upskilling or reskilling themselves. These cover both full academic courses and shorter, bite-size beginner and refresher courses.

Some of these courses might offer free trials or non-certified access to the curriculum, and some sites run promotional offers, so look around and choose carefully. Whichever you go for, though, it’s likely to be a worthwhile investment that will set you up for the future of work.

The Basics

Explore the foundational elements of generative AI, including its core concepts, ethical considerations, and practical applications for career enhancement.

· Generative AI Fundamentals Specialization - IBM (Coursera): A beginner-level course introducing basic concepts, ethical concerns, and prompt engineering, alongside practical advice on spotting opportunities to use it in a career or business.

· Introduction to Generative AI – University of Colorado, Boulder (Coursera): This course covers language as well as image generation, delving into theory and mathematics as well as practical uses.

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· Generative AI Primer – Vanderbilt University (Coursera): Super-snappy one-hour course introducing the concept of using generative AI to augment our human skills, creativity and critical thinking abilities.

· Generative AI with Google – in28Minutes (Udemy) is a bite-sized introduction to Google’s ecosystem of generative AI tools and models, including Bard and PaLM, and using them in the Google cloud.

· Generative AI for Beginners – Aakriti E-Learning (Udemy): One of Udemy’s best-selling generative AI courses is this three-hour certified course covering business use cases and key technical principles such as LLMs and fine-tuning.

Prompt Engineering

Master the art of effective prompt crafting to harness generative AI's full potential as a personal assistant.

· Introduction to Prompt Engineering Lean Prompting: Learn how to craft prompts that get the outcome you want as practical steps to using generative AI as a personal assistant.

· Prompt Engineering for ChatGPT – Vanderbilt University (Coursera): Learn a skill that’s forecast to be one of the most in-demand of the AI era.

· The Complete Prompt Engineering Bootcamp – Mike Taylor and James Phoenix (Udemy): Everything that you need to become an expert prompter, including using it to create computer code and applications.

· ChatGPT Prompt Engineering Certification – The Knowledge Academy: Advanced training on all aspects of prompt engineering, including adversarial prompt engineering and data processing.

Business-Focused

Uncover how generative AI is transforming businesses and learn to spot and leverage opportunities within your organization.

· Generative AI Implications and Opportunities for Business RMIT University (Class Central): Understand how generative AI is used by businesses today, and identify opportunities to use it in your own organization.

· Generative AI Business Sprint – MIT Management: 30-day course covering business process automation, using generative AI to drive organizational efficiency, and developing new business opportunities.

· AI Applications for Growth – Northwestern, Kellog School of Technology (Emeritus): This course two-month course offers a thorough grounding in AI business use cases but has a particular focus on empowering organizations through generative AI and developing future-ready skills.

· Generative AI Startup Strategy Showcase – Sramana Mitra (Udemy): Innovative course aiming to impart the skills and knowledge needed to spot AI startup opportunities, build a team, raise funds and launch a product or service onto the market.

Technical

Targeted courses for developers to integrate generative AI into their skill sets and projects.

· Generative AI for Software Developers – IBM (Coursera): Short course from IBM focusing on hands-on skills for developers wanting to add generative AI to their resume.

· Generative Adversarial Networks – DeepLearning.ai (Coursera): Learn to build GANs, one of the fundamental generative AI technologies.

· How Diffusion Models Work - DeepLearning.ai (Coursera): A thorough technical grounding in the fascinating science behind this powerful generative technology, as well as how to build your own.

· Large Language Models – databricks (edX): Understand the technical details of transformer models like GPT-4, and the technology powering ChatGPT and other language AIs.

· Design a Feminist Chatbot – Creative Computing Institute (FutureLearn): Focuses on the ethical challenges as well as technical skills that are needed to ensure that generative AI chatbots don’t propagate harmful gender stereotypes.

· Fine-Tuning Large Language Models – DeepLearning.ai (Coursera): Learn the technical skills needed to train LLMs using your own data, neural nets and weighting.

Specialist

For professionals looking to integrate generative AI into their work.

· ChatGPT for Educators – Georgia Tech (edX): Introduction to using ChatGPT (and other tools) in the classroom, including teaching how to use it, and using it to teach other subjects.

· Generative AI in Higher Education – King College London (FutureLearn): Learn about the capabilities and challenges around putting generative AI technologies to use in university, college and professional education environments.

· Generative Art and Computational Creativity – Simon Fraser University (Kadenze): It covers the history of the interaction between generative technology and creativity as well as practical instructions as well as addresses the philosophical issues around AI and creativity.

· Harnessing AI in Marketing and Communication – University of Adelaide (FutureLearn): Put generative AI to use in content creation, marketing automation, project planning and analytics.

· Generative AI for Data Scientists – IBM (Coursera): Specialization aimed at those with an understanding of data and analytics who want to learn to put generative AI to use in their field of work.

· Certification in Generative AI in Cybersecurity – Global Skills Development Council: GSDC offers this specialization program for cybersecurity professionals aiming to learn about the threats and opportunities created by the emergence of generative AI.

Embarking on any of these courses not only promises to elevate your understanding and skills in generative AI but also positions you at the forefront of technological innovation, ready to shape the future.

The Best Generative AI Courses Money Can Buy (2024)

FAQs

Which Gen AI certification is best? ›

Generative AI In Risk And Compliance Certification

Generative AI In Risk and Compliance Certification is one of the best credentials designed by GSDC that brings the knowledge and skills needed to leverage Gen AI technology effectively.

Which generative AI is best? ›

Among the best generative AI tools for images, DALL-E 2 is OpenAI's recent version for image and art generation. DALL-E 2 generates better and more photorealistic images when compared to DALL-E. DALL-E 2 appropriately goes by user requests.

What is the best way to learn generative AI? ›

If you are looking for a comprehensive and practical course that covers everything you need to know about generative AI, you are in luck. Microsoft has recently launched a version two of it free course called Generative AI for Beginners which now has 18 lessons, designed by cloud advocates and experts in the field.

How do I become a Generative AI specialist? ›

Becoming a Generative AI Expert demands a diverse skill set encompassing programming proficiency, data science acumen, machine learning expertise, deep learning knowledge, and understanding of various generative models.

Are AI certifications worth it? ›

AI certification not only enhances one's skill set but also future-proofs their career by ensuring relevance in a rapidly evolving job market. With AI becoming increasingly integral to business operations, certified professionals are well-positioned to thrive in the digital economy2.

Who owns ChatGPT? ›

‍ ChatGPT is fully owned and controlled by OpenAI, an artificial intelligence research lab. OpenAI, originally founded as a non-profit in December 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, John Schulman, and Wojciech Zaremba, transitioned into a for-profit organization in 2019.

Is there a free generative AI? ›

Adobe Firefly - Free Generative AI for creatives.

Is Claude better than ChatGPT? ›

Claude is better at understanding human language and can provide more accurate responses thanks to its ethical, constitutional design. But ChatGPT does a better job at tasks such as content creation, image generation and voice chat, and offers free, unlimited access to a range of services you have to pay for on Claude.

How to become master in generative AI? ›

Learning Generative AI Roadmap 2024
  1. Step 1: Understanding the Basics of Machine Learning. ...
  2. Step 2: Mastering Python Programming. ...
  3. Step 3: Exploring Data Science and Deep Learning. ...
  4. Step 4: Introduction to Generative AI. ...
  5. Step 5: Engage in Hands-on Projects and Challenges.
Mar 20, 2024

Is Google offering free AI courses? ›

They've curated a collection of free AI courses that cater to everyone, whether you're a coding novice or an experienced programmer looking to level up. These courses are like a virtual playground, offering diverse topics, from the basics of machine learning to the intricacies of natural language processing.

How long will it take to learn generative AI? ›

Learn Generative AI in 30 Hours.

Can I learn AI in 3 months? ›

For someone with foundational knowledge in mathematics and programming, it could take anywhere from 6 to 12 months of consistent study to develop an understanding of Artificial Intelligence basics and get comfortable with Machine Learning processes.

Which course is best for future 2025? ›

Fields such as Artificial intelligence, renewable energy engineering , biomedical engineering and Cybersecurity, the demand for skilled professionals in these areas are expected to soar in the coming years.

How to use AI to make money? ›

How to make money with AI in 2024?
  1. Develop chatbots for specialized purposes.
  2. Content creation with AI.
  3. AI for business.
  4. Lead generation.
  5. Create online courses.
  6. Generate audio with AI.
  7. AI in e-commerce.
  8. Build websites.
May 3, 2024

Is AI 102 certification worth it? ›

This certification is worth pursuing because it opens doors to well-paying positions and provides a competitive edge. To get the certification, you need a deep understanding of various AI technologies, like natural language processing, machine learning, and computer vision.

Which AI detector is the most reliable? ›

The 6 best AI content detectors
  • TraceGPT for accuracy.
  • Winston AI for integrations.
  • Hive for a free AI content detector.
  • GPTZero for extra writing analysis features.
  • Originality.ai for different models based on risk tolerance.
  • Smodin for affordable unlimited use.
Apr 30, 2024

What is the difference between AI and gen AI? ›

Traditional AI: Its scope of operations is limited. The model uses data analysis to identify patterns, make predictions, and perform specific tasks. It's a highly efficient problem solver. Generative AI: It creates original data based on human input and data analysis.

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