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With so many resources available on the Internet, it’s easy to get confused, but you needn’t worry. These handpicked courses on generative AI can help you cut through the noise and select the best course for your needs.
1Introduction to Generative AI Learning Path (Google Cloud Skills Boost)
This course is one of the best tutorials for beginners toget started with generative AI. The learning path covers fundamental concepts including large language models (LLM), responsible AI, and prompt engineering.
The learning path is divided into the following five courses.
These courses provide materials in the form of videos, complementary reading lists, hands-on labs, and quizzes to check your understanding of the concepts. Upon completing each course, you’ll also earn a badge of completion.
Institution
Google Cloud Skills Boost
~8.5 hours
Certificate (Badge of Completion)
Available (Free)
2Generative AI Full Course (iNeuron | freeCodeCamp)
This 30-hour freeCodeCamp course on generative AI is one of the most comprehensive courses for developers. You can access it on freeCodeCamp’s YouTube channel or theiNeuronplatform. If you access the course via iNeuron, you’ll get more features, including dashboard access, course resources, dedicated community support, quizzes, and assessments in all modules.
You’ll first learn the theoretical concepts related to genAI. Then, you’ll gain hands-on knowledge of several tools, including Gemini Pro, OpenAI, Llama, Langchain, Pinecone, and Vector Databases. You’ll build many real-world applications while doing this course. Quizzes, community support, and assessments can help you further solidify the learned concepts.
Although you can cover this course at your own pace, the instructors have structured it over 13 days. According tofreeCodeCamp, here’s what you can expect:
freeCodeCamp
Beginner to Advanced
Certificate
3Generative AI for Everyone (DeepLearning.AI | Coursera)
This short generative AI course is taught by AI pioneer Andrew Ng. It covers how generative AI works, what it can and cannot do, how to use it effectively, and the opportunities and risks in genAI. You’ll also get sometips on prompt engineering. The best part of this course is that you don’t need any prior coding or AI knowledge to take it.
The instructor, Andrew Ng, has taught other courses on machine learning and AI, which are considered among the best courses on the topic. Quizzes, reading materials, and hands-on exercises complement the course modules.
According toDeepLearning.AI, by the end of this course, you’ll learn:
DeepLearning.AI
Available (Paid)
Free-to-Audit / Coursera subscription
4Generative AI for Beginners (Microsoft)
This course by Microsoft is arguably the most in-depth open-source course available for those who want to enter the generative AI world. Structured as a series of “Learn” and “Build” lessons, it offers a comprehensive understanding of generative AI concepts and practical implementation using Python and TypeScript.
Each topic includes a short video introduction followed by a written lesson. You’ll have access to Python and TypeScript code samples that support Azure OpenAI and the OpenAI API.
This course also provides links to extra resources if you want to go beyond the core curriculum. you may join the official Discord server to meet and network with other learners.
GitHub (Microsoft)
Self-Paced
Not available
5Generative AI Fundamentals Specialization (IBM | Coursera)
This course by IBM on Coursera offers a comprehensive overview of generative AI’s foundational concepts, capabilities, models, tools, and applications. Through five short, self-paced courses, each requiring 3–5 hours to complete, you can understand how to use generative AI to enhance your career and life in general.
The specialization covers a wide array of topics, including powerful prompt engineering techniques to achieve desired outcomes, understanding foundational models like GPT, DALL-E, and IBM Granite, and introduction to the ethical implications and considerations surrounding generative AI.
If you’re already experienced with generative AI, you may enroll in one of IBM’s role-based specializations:
1 month at 5 hours a week
