Build Your First AI Agent with a Framework
Compare LangChain, LangGraph, LlamaIndex and more, then build live: build the same tool-calling agent with and without a framework.
Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.
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Learn this topic with a mentor
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- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1The real problem: framework overload: which one, and when not to use any
- 2The tool landscape: LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, Google ADK, CrewAI, Pydantic AI — what each is for and where they overlap
- 3How to choose: team size, integrations, where your data lives, and today's pricing and availability (checked live, not from memory)
- 4Live practical task: Build the same tool-calling agent with and without a framework
- 5Build the reusable output together: Agent starter repo + framework decision table
- 6When you don't need a new tool at all, then live Q&A on your own setup
Who it's for
- • Students and developers who want hands-on practice with real tools
You'd leave with
- Agent starter repo + framework decision table
- A shortlist of 2–3 options from LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK and others, with the criteria to pick one
- Hands-on practice: build the same tool-calling agent with and without a framework
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