Detailed Prerequisites To Start Learning Agentic AI With Free Videos And Materials

Summary

In this video, Krishak introduces the **Agentic AI Free Course** launching on December 28th. The course will teach how to build **Agentic AI applications** using Python and frameworks like **FiData**, **LangChain**, and **Autogen**. Krishak highlights essential prerequisites, including proficiency in Python programming, familiarity with **Generative AI** tools (such as **LangChain**), and knowledge of LLM models. He also provides resources like his **Generative AI Playlist** on YouTube and a **Udemy course** for beginners. The first tutorial will cover **FiData**, and live bootcamps are available for more detailed guidance.

Takeaways

• 😀 The 'Agentic AI Free Course' starts on December 28th, and it's designed to teach how to build AI applications using Python and frameworks like Fi Data, LangChain, and LangGraph.
• 😀 Python programming knowledge is essential to fully participate in the course. Basic hands-on experience with Python is required, especially in integrating APIs and managing environments.
• 😀 The course will involve using multiple LLM models, including those from OpenAI, Groq (open source), and Hugging Face, to build generative AI applications.
• 😀 A strong understanding of Python libraries, such as creating virtual environments and handling API keys, is crucial for the course.
• 😀 Familiarity with tools like GitHub Copilot and version control systems is recommended to help improve productivity and code organization during the project.
• 😀 Prior knowledge of generative AI concepts and frameworks like LangChain is important, as the course will build on these ideas to create more complex AI applications.
• 😀 The course will involve both coding and no-code solutions for creating AI applications, giving students the flexibility to choose how they want to approach the project.
• 😀 A detailed 'Generative AI' playlist is available on the channel, offering foundational knowledge that will be beneficial for this course.
• 😀 Krishna has a paid Udemy course for those who want to dive deeper into Python and generative AI with hands-on examples like creating Q&A chatbots and document-based bots.
• 😀 The course will also explore advanced concepts like agentic AI, which involves creating autonomous agents that communicate with various tools, a step up from typical generative AI applications.

Q & A

What is the goal of the Agentic AI free course?

The goal of the course is to teach how to build Agentic AI applications using frameworks like LangFlow, FiData, LangGraph, and Autogen, with a focus on creating end-to-end AI projects.

When will the Agentic AI course start?

The course will start on December 28th, with the first project-based tutorial going live.

What are the prerequisites for this course?

The prerequisites include knowledge of Python programming, experience with generative AI tools, and an understanding of frameworks like LangChain and LangGraph.

Why is Python programming important for this course?

Python is essential because it is used for integrating APIs, handling environment variables, modularizing code, and interacting with various AI models and frameworks.

What frameworks will be used in the course?

The course will cover frameworks such as LangFlow, FiData, LangGraph, and Autogen, with an emphasis on building Agentic AI applications.

Do participants need to be experts in Python for this course?

No, participants do not need to be experts in Python, but they should have a basic understanding of Python, including working with libraries and APIs.

What is the significance of generative AI knowledge for the course?

Understanding generative AI is crucial because the course involves building complex AI workflows with autonomous agents, and generative AI provides foundational knowledge for this process.

What are some of the tools and technologies that will be used?

Tools like GitHub, GitHub Copilot, and virtual environments will be used. Additionally, the course will utilize APIs from OpenAI, Grok, Hugging Face, and other open-source models.

What additional resources are available for participants?

Participants can refer to Krishak's YouTube playlist on generative AI and the Udemy course on generative AI and Python, which provides further in-depth learning.

Will the course include hands-on coding or is it focused on theory?

The course will include hands-on coding, with tutorials and end-to-end projects to build practical applications. There will also be a no-code section to create complex workflows using drag-and-drop tools.