You can book One to one consultancy session with me on Mentoga: https://mentoga.com/muhammadaammartufail
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GitHub Repo for DSAAMP codes: https://github.com/AammarTufail/DSAAMP_2025
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Learn how to build intelligent agents step-by-step in pure Python and modern frameworks!
In this hands-on session we cover:
1. What is an AI agent? Key concepts & architectures
2. Reflex Vacuum-Cleaner agent – no external libraries
3. LangChain ReAct agent – LLM + web-search tool calling
4. CrewAI multi-agent team – researcher + writer workflow
5. Best practices, evaluation tips and the most popular agent frameworks in 2025
Whether you’re a beginner or an experienced developer, you’ll walk away with runnable code and a clear mental model of how agents perceive, reason and act.
👇 Download the full Markdown lesson & code examples:
https://github.com/AammarTufail/DSAAMP_2025/tree/main/09_AI_agents
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4-Months of Data Science to AI Agents Mentorship Program (DSAAMP)
Hurry up!
Register now, only few seats available.
More information about the course and the registration link to google form: https://forms.gle/8dHbiu2TGmHTzgYY8
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Here is the playlist with all free crash courses:
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⏱ Timestamps
00:00:00 Introduction to AI Agents
00:09:25 Definition of AI Agents
00:20:00 Basic Ingredients of AI Agents
00:29:38 Environment Dimensions of AI Agents
00:37:47 AI Agent Families
00:55:07 Hands on Three agents in Python
01:08:34 AI Agent Frameworks
01:15:10 Best practices and pitfalls
01:21:10 Applications of AI Agents
01:33:17 Further Reading resources
Resources & links
• LangChain docs: https://python.langchain.com
• CrewAI docs: https://docs.crewai.com
• AutoGen GitHub: https://github.com/microsoft/autogen
• Semantic Kernel: https://aka.ms/semantic-kernel
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