2-Day Online Workshop
π
July 15 β 16, 2025
π 6:00 β 9:00 PM (GMT+2)
π Live via Zoom
πΆ 405 β¬
Want to level up your AI skills and build intelligent systems that think, plan, and act? In this live, hands-on workshop, youβll explore the full lifecycle of Agentic AI, designing, building, deploying, and monitoring advanced agent-based applications.
Day 1 (July 15, 6β9 PM GMT+2)
The session began with a refresher on generative AI, LLM prompting, and retrieval-augmented generation (RAG), followed by an introduction to agentic AI components like memory and tool use. Participants practiced LangChain prompting and tool calling, built basic agentic systems using LangGraph and CrewAI, and created a Text2SQL assistant. The day closed with a focus on memory types and the development of a conversational financial assistant using LangMem.
Day 2 (July 16, 6β9 PM GMT+2)
Participants explored advanced agentic workflows including planning, reflection, and multi-agent design. Hands-on sessions focused on hierarchical agents for deep research tasks. They then built agentic RAG systems for customer support using adaptive and corrective routing. The day concluded with a full-stack deployment exercise using FastAPI and tools for cloud monitoring such as LangFuse and Arize Phoenix.
About the
...
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2-Day Online Workshop
π
July 15 β 16, 2025
π 6:00 β 9:00 PM (GMT+2)
π Live via Zoom
πΆ 405 β¬
Want to level up your AI skills and build intelligent systems that think, plan, and act? In this live, hands-on workshop, youβll explore the full lifecycle of Agentic AI, designing, building, deploying, and monitoring advanced agent-based applications.
Day 1 (July 15, 6β9 PM GMT+2)
The session began with a refresher on generative AI, LLM prompting, and retrieval-augmented generation (RAG), followed by an introduction to agentic AI components like memory and tool use. Participants practiced LangChain prompting and tool calling, built basic agentic systems using LangGraph and CrewAI, and created a Text2SQL assistant. The day closed with a focus on memory types and the development of a conversational financial assistant using LangMem.
Day 2 (July 16, 6β9 PM GMT+2)
Participants explored advanced agentic workflows including planning, reflection, and multi-agent design. Hands-on sessions focused on hierarchical agents for deep research tasks. They then built agentic RAG systems for customer support using adaptive and corrective routing. The day concluded with a full-stack deployment exercise using FastAPI and tools for cloud monitoring such as LangFuse and Arize Phoenix.
About the Instructor
Dipanjan (DJ) Sarkar is a data science expert, author, and consultant with over nine years of experience applying machine learning across industries. A Google Developer Expert in ML and Cloud AI/ML Champion Innovator, he has led analytics at Intel, Red Hat, IBM, and more. DJ designs scalable AI solutions for startups and Fortune 100 firms, advises global projects, and mentors professionals through platforms like Springboard and MentorCruise. His book Text Analytics with Python is widely used in academia.
Special offer: "Summer of AI"
Level up with AI this July through 3 hands-on workshops designed to improve your productivity and boost your career potential. Originally priced at CHF 450, each workshop is now available for CHF 405. Join 2 or more and unlock extra discounts, save up to 25% when you register by July 7th!
REGISTER NOW!
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