Best Generative AI Online Course

Top 20 Best Online Courses to Learn Generative AI

In the ever-evolving landscape of artificial intelligence, generative AI stands out as a groundbreaking domain with the potential to revolutionize industries from art and entertainment to healthcare and finance. If you’re looking to dive into this exciting field, there are numerous online courses available to get you started. Here, we’ll explore the top 20 best online courses to learn generative AI, each offering unique insights and practical skills to help you master this technology.

0. Generative AI for Everyone by Andrew Ng (DeepLearning.AI)

The “Generative AI for Everyone” course on DeepLearning.AI, taught by Andrew Ng, provides an overview of generative AI, including how it works, its applications, and its impact on business and society. The course covers topics like prompt engineering, AI tools, and responsible AI. It includes practical exercises and real-world examples, aiming to make generative AI accessible to all, regardless of prior experience.

Link: Generative AI for Everyone

1. Deep Learning Specialization by Andrew Ng (DeepLearning.AI on Coursera)

AI expert Andrew Ng’s Deep Learning Specialization on Coursera is a comprehensive program that covers the foundations of neural networks and deep learning. This course is a great starting point for understanding the concepts that underpin generative AI, including neural networks, convolutional networks, and sequence models. It includes five courses: “Neural Networks and Deep Learning”, “Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization”, “Structuring Machine Learning Projects”, “Convolutional Neural Networks”, and “Sequence Models”.

Link: Deep Learning Specialization

2. Generative Adversarial Networks (GANs) Specialization (DeepLearning.AI on Coursera)

This specialization focuses specifically on GANs, a pivotal technology in generative AI. You will learn how to build and train GANs to create new content, from generating realistic images to creating new music. The specialization includes hands-on projects, and it includes 3 courses: “Build Basic Generative Adversarial Networks (GANs)”, “Build Better Generative Adversarial Networks (GANs)”, “Apply Generative Adversarial Networks (GANs)”.

Link: GANs Specialization

3. Generative AI Nanodegree Program (Udacity)

Udacity’s Generative AI Nanodegree Program offers a comprehensive curriculum that covers the essentials of generative AI, text generation with large language models, and image creation in computer vision. The program includes real-world projects, personalized reviews, and completion certificates, aiming to equip learners with job-ready skills in generative AI. The program spans four months and requires intermediate Python and database fundamentals as prerequisites.

Link: Generative AI Nanodegree Program

4. Generative AI for Data Scientists Specialization (IBM on Coursera)

The Generative AI for Data Scientists Specialization on Coursera, offered by IBM, consists of three courses: “Generative AI: Introduction and Applications”, “Generative AI: Prompt Engineering Basics”, and “Generative AI: Elevate Your Data Science Career”. The program focuses on practical skills, including generative AI models, prompt engineering, and applying these techniques to enhance data science workflows. It is designed for intermediate-level learners with prior data science experience and includes hands-on projects.

Link: Generative AI for Data Scientists Specialization

5. Generative Deep Learning with TensorFlow (DeepLearning.AI on Coursera)

The “Generative Deep Learning with TensorFlow” course on Coursera, offered by DeepLearning.AI, covers neural style transfer, AutoEncoders, Variational AutoEncoders, and GANs. It includes hands-on projects, such as generating anime faces and building GANs to create realistic images. The course requires intermediate Python and TensorFlow knowledge and is part of the TensorFlow: Advanced Techniques Specialization.

Link: Generative Deep Learning with TensorFlow

6. Introduction to Generative AI Learning Path Specialization (Google on Coursera)

The “Introduction to Generative AI” Specialization on Coursera, offered by Google Cloud, includes four courses: “Introduction to Generative AI”, “Introduction to Large Language Models”, “Introduction to Responsible AI”, and “Responsible AI: Applying AI Principles with Google Cloud”. This specialization covers the fundamentals of generative AI, large language models, and ethical considerations for responsible AI. It’s designed for intermediate learners and includes practical projects and interactive quizzes.

Link: Introduction to Generative AI Learning Path Specialization

7. Generative AI with Large Language Models (Deeplearning.AI and AWS on Coursera)

The “Generative AI with Large Language Models” course on Coursera, offered by DeepLearning.AI, provides an in-depth understanding of generative AI using large language models (LLMs). The course covers the transformer architecture, model training, fine-tuning, and deployment. It includes practical applications, such as dialogue summarization, and emphasizes responsible AI practices. The course is designed for learners with intermediate Python skills and basic knowledge of machine learning. Finishing Deep Learning Specialization is recommended before taking this course.

Link: Generative AI with Large Language Models

8. AI Foundations for Everyone Specialization (IBM on Coursera)

The “AI Foundations for Everyone” Specialization on Coursera, offered by IBM, includes four courses designed for beginners: “Introduction to Artificial Intelligence (AI),” which covers the basics and applications of AI; “Generative AI: Introduction and Applications,” focusing on generative versus discriminative AI and their use cases; “Generative AI: Prompt Engineering Basics,” which teaches effective prompt creation techniques; and “Building AI Powered Chatbots Without Programming,” where learners create and deploy chatbots using Watson Assistant.

Link: AI Foundations for Everyone Specialization

9. AI For Business Specialization (UPenn on Coursera)

The “AI For Business” Specialization on Coursera, offered by the Wharton School of the University of Pennsylvania, includes four courses: “AI Fundamentals for Non-Data Scientists,” “AI Applications in Marketing and Finance,” “AI Applications in People Management,” and “AI Strategy and Governance.” This program covers the fundamentals of AI and machine learning, their applications in various business functions, ethical considerations, and strategies for AI deployment. It is designed for business professionals looking to integrate AI into their organizations.

Link: AI For Business Specialization

10. Generative AI for Business Leaders (Udacity)

The “Generative AI for Business Leaders” course on Udacity is designed to help leaders implement successful AI projects and strategies. It covers structuring teams, processes, and platforms to leverage generative AI for innovation and growth. The course includes lessons on AI fundamentals, business perspectives, project launching, human capital, strategy development, and AI/ML architectures. A final project involves creating a 100-day roadmap for AI implementation.

Link: Generative AI for Business Leaders

11. Applied Generative AI for Digital Transformation (MIT)

The “Applied Generative AI for Digital Transformation” course by MIT Professional Education is a three-week live virtual program that explores generative AI technologies. It covers AI fundamentals, prompt engineering, automation strategies, reinforcement learning, and ethical considerations. Designed for business leaders, technology managers, and professionals from various sectors, the course emphasizes practical applications and strategic insights for leveraging AI in digital transformation. Participants receive an MIT Professional Education Certificate of Completion.

Link: Applied Generative AI for Digital Transformation

12. Generative AI for Business (University of Chicago)

The “Generative AI for Business” course by the University of Chicago is a two-week online program designed to help professionals leverage generative AI for business transformation. The curriculum covers evaluating AI business cases, developing AI roadmaps, and understanding applications in customer service, supply chain, marketing, and engineering. Participants will engage in live sessions and self-paced content, gaining practical skills and a certificate upon completion.

Link: Generative AI for Business

13. Generative AI for Beginners (Udemy)

The “Generative AI for Beginners” course on Udemy, offered by Aakriti E-Learning Academy, introduces learners to generative AI concepts, including LLMs, embeddings, prompt engineering, and fine-tuning. The course features industry use cases, hands-on projects like building a chatbot, and insights into future trends. It emphasizes practical skills and continuous learning, making it ideal for aspiring AI enthusiasts, professionals, and those curious about AI’s transformative potential.

Link: Generative AI for Beginners

14. LangChain- Develop LLM powered applications with LangChain (Udemy)

The “LangChain” course on Udemy is designed for software engineers with Python proficiency, covering LangChain library applications for large language models (LLMs). Key projects include an Ice Breaker agent, a documentation helper chatbot, and a slim version of ChatGPT’s code interpreter. Topics include prompting, chat models, agents, vector stores, document loaders, and UI with Streamlit. The course offers hands-on exercises, community support, and continuous updates, requiring third-party APIs for certain projects.

Link: LangChain- Develop LLM powered applications with LangChain

15. ChatGPT and LangChain: The Complete Developer’s Masterclass (Udemy)

The “ChatGPT and LangChain: The Complete Developer’s Masterclass” on Udemy, created by Stephen Grider, is an advanced course focusing on integrating ChatGPT and LangChain into production-ready applications. It covers building complex text generation pipelines, enhancing ChatGPT with user feedback, creating a “Chat-with-a-PDF” web app, and using tools like OpenAI plugins, vector databases, and distributed processing. The course includes hands-on projects, reusable code practices, and performance optimization techniques, ideal for software engineers looking to integrate AI into their applications.

Link: ChatGPT and LangChain: The Complete Developer’s Masterclass

16. Gen AI — RAG Application Development using LangChain (Udemy)

The “Gen AI — RAG Application Development using LangChain” course on Udemy, taught by Manas Dasgupta, focuses on developing RAG applications using OpenAI GPT APIs, LangChain, and vector databases. It covers LangChain components like agents, tools, chains, and retrievers, along with prompt engineering and conversational memory. Projects include SQL RAG, CV analysis, HR chatbot, structured data analysis, and invoice data extraction. The course is ideal for software developers aiming to integrate LLMs into their projects.

Link: Gen AI — RAG Application Development using LangChain

17. AI Videos, DeepFake & Voice Cloning Business: The New Age (Udemy)

The “AI Videos, DeepFake & Voice Cloning Business” course on Udemy by Arnold Oberleiter teaches advanced AI techniques such as voice cloning, deepfake creation, and AI-driven video production. The course covers tools like ElevenLabs, Murf AI, ChatGPT, Midjourney, and Stable Diffusion, focusing on practical applications for social media, business, and creative projects. It includes hands-on exercises, entrepreneurial insights, and access to a supportive community, suitable for creative professionals, influencers, and entrepreneurs.

Link: AI Videos, DeepFake & Voice Cloning Business: The New Age

18. AI-Videos: Be a Filmmaker with Artificial Intelligence (Udemy)

The “AI Videos: Create Recordings with Artificial Intelligence” course on Udemy, taught by Arnold Oberleiter, focuses on using AI tools to create and edit videos. It covers AI video generation, deepfake technology, voice cloning, and automating video creation processes. The course includes practical exercises and real-world applications, aimed at video creators, marketers, and anyone interested in leveraging AI for content creation.

Link: AI-Videos: Be a Filmmaker with Artificial Intelligence

19. Generative AI Full Course — Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More (YouTube)

The YouTube video titled “Generative AI Full Course — Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More” provides an in-depth overview of generative AI technologies and their applications. It covers various tools and frameworks such as Gemini Pro, OpenAI, Llama, Langchain, Pinecone, and vector databases. The course is designed to educate viewers on the practical uses of these technologies, offering insights into how they can be leveraged for different AI projects.

Link: Generative AI Full Course — Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

20. Learn RAG From Scratch — Python AI Tutorial from a LangChain Engineer (YouTube)

Lance Martin, PhD, provides a comprehensive guide on using RAG to combine custom data with LLMs. Key topics include indexing, retrieval, generation, query translation, routing, and advanced indexing techniques. The course offers a step-by-step approach, covering fundamental and advanced aspects of RAG, making it ideal for those looking to integrate LLMs with their own data.

Link: Learn RAG From Scratch — Python AI Tutorial from a LangChain Engineer

Conclusion

Generative AI is an exciting and rapidly growing field with endless possibilities. Whether you’re a beginner or an experienced practitioner, these courses offer valuable knowledge and skills to help you harness the power of generative AI. Start your learning journey today and become part of the AI revolution!

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