Free Generative AI Course for Beginners

FAQs

• Who is this course designed for?

  It is designed for complete beginners, students, fresh graduates, and working professionals who want to understand Generative AI and LLMs from the ground up.

• Do I need a technical background to take this course?

  No. Lesson 01 is built for beginners, and every concept across the course is explained in accessible language.

• What is Generative AI, and how does it relate to LLMs?

  Generative AI refers to AI systems that create new content, such as text, images, or code. Large language models (LLMs) power most text-based Generative AI tools. Lesson 01 covers both.

• What will I learn in Lesson 01?

  Lesson 01 covers the fundamentals of Generative AI and LLMs, giving beginners the conceptual foundation needed for the rest of the course.

• What tools does the course cover?

  Lesson 02 covers the tools commonly used to work with Generative AI, alongside the prompt engineering skills needed to use them effectively.

• What is prompt engineering, and why does it matter?

  Prompt engineering is the practice of writing inputs that get reliable, high-quality output from an AI model. Lesson 02 covers how to do this well.

• What will I build in Lesson 03?

  Lesson 03 covers building real AI applications, working with agents that extend what Generative AI can do, and using RAG to ground AI responses in real data.

• What is a RAG system, and how does it fit into this course?

  RAG (Retrieval-Augmented Generation) lets an AI system retrieve relevant information before answering, making responses more accurate. Lesson 03 covers RAG as part of building with Generative AI.

• What are AI agents?

  AI agents are systems that can carry out multi-step tasks using Generative AI. Lesson 03 covers how agents work and how they extend what basic AI applications can do.

• What does the course cover about the future of Generative AI?

  Lesson 04 looks at where Generative AI is headed, helping you understand emerging trends and what to expect from the technology going forward.

• What is responsible AI, and why is it covered here?

  Responsible AI means using AI ethically and safely, while considering its limitations and impact. Lesson 04 covers what this means in practice.

• Does the course cover career opportunities in Generative AI?

  Yes. Lesson 04 covers the career opportunities opening up in Generative AI, helping you connect your learning to real career paths.

• Do I need to know how to code to complete this course?

  No coding is required to follow the concepts. Lesson 03 covers building applications and agents at a level that beginners can follow.

• What should I do after finishing this course?

  Practice prompt engineering on a task you do regularly, and try building a simple AI application, agent, or RAG project using what you learned in Lesson 03.