How to build agentic AI apps with a free course

TL;DR

A free two week course teaches how to build agentic AI applications using frameworks like Langflow, Phidata, Langgraph and Autogen. It covers end-to-end workflows, multiple models and dashboards, with daily video tutorials and assignments to reinforce learning. You will access a course dashboard, materials, and a peer-to-peer chat for collaboration.

Transcript

hello all my name is krishn and welcome to my YouTube channel so guys I am super excited to announce a new free course on building agentic AI application now in this particular video I will be talking about this specific fee free course how frequently we are going to upload videos what all tools and Frameworks we are actually going to cover each an... Read More

Key Insights

• Agentic AI apps can be built using a set of frameworks including Langflow, Phidata, Langgraph and Autogen. The course emphasizes end-to-end projects and hands-on learning from basics.
• The dashboard is central to the course, hosting materials, videos and assignments for learners to access in one place.
• Multiple tools will be demonstrated, including open source LLMs and model access through various providers, to show end-to-end integration.
• The course runs for two weeks with daily video uploads, enabling structured progression and consistent practice.
• Assignments are designed to be complex and industry-relevant, with rewards for submission to motivate learners.
• Open source and commercial models will be explored, including Langflow and other models for building AI agents.
• A peer-to-peer community chat is provided to facilitate collaboration and discussion among learners.
• Sessions are recorded rather than live, offering flexibility while maintaining a guided walkthrough of frameworks.
• More videos from this channel:
  • How to use Krish AI Chatbot for data help
  • How to build agentic AI systems with LangGraph
  • How to debug LangGraph workflows
• More from this channel: Krish Naik

Questions & Answers

Q: What is the goal of the free course on agentic AI applications

The course aims to teach learners how to build agentic AI applications from scratch using frameworks such as Langflow, Phidata, Langgraph and Autogen. It covers end-to-end workflows, multi-model integration, and how to implement complex AI agents, with a dashboard for materials and assignments to support learning over two weeks.

Q: Which frameworks are covered in the course

The course covers Langflow, Phidata, Langgraph and Autogen as core frameworks. It also mentions OpenAI, Hugging Face, Gro, Bedrock and other model access options to illustrate how to create end-to-end agentic AI workflows. Learners will see how to combine these tools in practical projects.

Q: How long is the course and how is content delivered

The course runs for two weeks. Each day a new video tutorial is uploaded that focuses on different frameworks and libraries. Videos are available on YouTube and the course dashboard, and learners can follow along at their own pace while accessing materials in one place.

Q: What resources are provided to students

Students receive a course dashboard with all materials, video tutorials and assignments. The dashboard is designed to host resources for easy access, and learners can participate in a peer-to-peer community chat to discuss assignments and collaborate with teammates.

Q: Are there rewards for assignment submissions

Yes, learners who submit assignments will be eligible for some rewards as part of the course design. The assignments are crafted as complex workflows that reflect real industry challenges and help reinforce learning across the frameworks discussed.

Q: Will the course use open source models

The course plans to use open source LLM models in addition to other options. It will demonstrate how to integrate multiple models and frameworks to build end-to-end AI agent workflows, ensuring learners gain practical experience with diverse tools.

Q: Is the course free and how can one enroll

The course is advertised as completely free with no money required to enroll. Learners are encouraged to register to access the course dashboard, materials and the community chat, and to receive daily video uploads over the two week period.

Q: What topics beyond tool demonstrations are included

Beyond tool demonstrations, the course includes building multi-model AI agents for legal, financial and other domains, creating complex workflows, and showing how to integrate APIs, databases and different model providers to assemble a functioning agentic AI product.

Summary & Key Takeaways

• The course provides a dashboard with materials and assignments for hands-on learning across multiple frameworks over two weeks.

• Video tutorials cover Langflow, Phidata, Langgraph, Autogen and other tools to build agentic AI applications.

• Participants gain access to a peer-to-peer discussion group and a resource hub to support independent and collaborative work.