{"product_id":"agentic-ai-in-python-crash-course","title":"Agentic AI in Python Crash Course","description":"\u003ch3\u003e\n\u003cstrong\u003e\u003cspan\u003eModule 1: Introduction to Agentic AI (2 hours)\u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e\u003c\/span\u003e\n\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eConcepts, environment setup, first OpenAI API call\u003c\/li\u003e\n\u003cli\u003eHands-on tasks:\u003cbr\u003eSee corresponding Jupyter notebook for step-by-step code and examples.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eModule 2: LLM Fundamentals \u0026amp; Prompt Engineering \u003cspan\u003e(\u003c\/span\u003e\u003cspan\u003e2 hours\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003ePrompts, templates, few-shot, structured outputs.\u003c\/li\u003e\n\u003cli\u003eHands-on tasks:\u003cbr\u003eSee corresponding Jupyter notebook for step-by-step code and examples.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eModule 3: Building Simple Agents \u003cspan\u003e(\u003c\/span\u003e\u003cspan\u003e2 hours\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAgent loops, LangChain basics\u003c\/li\u003e\n\u003cli\u003eHands-on tasks:\u003cbr\u003eSee corresponding Jupyter notebook for step-by-step code and examples.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eModule 4: Tools, Memory \u0026amp; Reasoning \u003cspan\u003e(3\u003c\/span\u003e\u003cspan\u003e hours\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eTools, memory stores, ReAct\u003c\/li\u003e\n\u003cli\u003eHands-on tasks:\u003cbr\u003eSee corresponding Jupyter notebook for step-by-step code and examples.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eModule 5: Multi-Agent Systems \u003cspan\u003e(\u003c\/span\u003e\u003cspan\u003e2 hours\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAgent collaboration patterns\u003c\/li\u003e\n\u003cli\u003eHands-on tasks:\u003cbr\u003eSee corresponding Jupyter notebook for step-by-step code and examples.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eModule 6: Integrating APIs \u0026amp; External Tools \u003cspan\u003e(3\u003c\/span\u003e\u003cspan\u003e hours\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eConnect to APIs, file handling\u003c\/li\u003e\n\u003cli\u003eHands-on tasks:\u003cbr\u003eSee corresponding Jupyter notebook for step-by-step code and examples.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eModule 7: Custom Agent Workflows \u0026amp; Planning \u003cspan\u003e(3\u003c\/span\u003e\u003cspan\u003e hours\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eTask decomposition, vector stores\u003c\/li\u003e\n\u003cli\u003eHands-on tasks:\u003cbr\u003eSee corresponding Jupyter notebook for step-by-step code and examples.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eModule 8: Capstone — Multi-Agent Chatroom \u003cspan\u003e(3\u003c\/span\u003e\u003cspan\u003e hours\u003c\/span\u003e\u003cspan\u003e)\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eBuild multi-agent chatroom (console + Streamlit)\u003c\/li\u003e\n\u003cli\u003eHands-on tasks:\u003cbr\u003eSee corresponding Jupyter notebook for step-by-step code and examples.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eCapstone: Multi-Agent Chatroom\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan\u003eTwo implementations are included:\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003col\u003e\n\u003cli\u003eConsole-based: a lightweight terminal app that runs locally.\u003c\/li\u003e\n\u003cli\u003eStreamlit-based: provides a web UI suitable for demos and classrooms.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cstrong\u003eBoth use OpenAI as the LLM backend and LangChain patterns for agents, memory, and tool invocation.\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2\u003eSetup \u0026amp; Requirements\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eRun:\u003cbr\u003epip install -r requirements.txt\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eSet your OpenAI API key in environment variable OPENAI_API_KEY or use a .env file.\u003cbr\u003e\u003cbr\u003e\u003cspan\u003e\u003cstrong\u003eExample:\u003c\/strong\u003e\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003eexport OPENAI_API_KEY='sk-...'\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eFiles in ZIP package\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e01_intro_agentic_ai.ipynb\u003c\/li\u003e\n\u003cli\u003e02_prompt_engineering.ipynb\u003c\/li\u003e\n\u003cli\u003e03_simple_agents.ipynb\u003c\/li\u003e\n\u003cli\u003e04_tools_memory_reasoning.ipynb\u003c\/li\u003e\n\u003cli\u003e05_multi_agent_systems.ipynb\u003c\/li\u003e\n\u003cli\u003e06_api_integration.ipynb\u003c\/li\u003e\n\u003cli\u003e07_custom_agent_workflows.ipynb\u003c\/li\u003e\n\u003cli\u003e08_capstone_multiagent_chatroom_console.ipynb\u003c\/li\u003e\n\u003cli\u003e08_capstone_multiagent_chatroom_streamlit.ipynb\u003c\/li\u003e\n\u003cli\u003eREADME.md\u003c\/li\u003e\n\u003cli\u003erequirements.txt\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\n\u003ch2\u003eBonus Lessons:\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eBasics of Python (2 Sessions)\u003c\/li\u003e\n\u003cli\u003eMCP and RAG (2-3 Sessions)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Questpond Videos","offers":[{"title":"Default Title","offer_id":48333222117582,"sku":null,"price":25000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0644\/2359\/2142\/files\/AgenticAILivetraining.png?v=1788881675","url":"https:\/\/questpondshop.myshopify.com\/products\/agentic-ai-in-python-crash-course","provider":"Questpond Videos","version":"1.0","type":"link"}