AI & Machine Learning
Online Live Cohort
advanced Level
Autonomous AI Agents & Memory Pipelines
Build agentic coding assistants, function-calling workflows, and RAG architectures with vector embeddings.
Date
Sunday, 19 Oct 2026
Duration
6 Hours Live
Enrolled
98 Students
Workshop Overview
Practical, code-first workshop on engineering reliable autonomous agent loops. Understand the difference between prompt engineering and deterministic tool-calling pipelines. Learn how to implement long-term vector memory, structured JSON reasoning, human-in-the-loop validation, and rate-limited resilient LLM clients.
What You Will Learn & Build
✓Build deterministic function-calling pipelines that gracefully recover from malformed responses
✓Implement episodic and semantic memory architectures with vector embeddings
✓Design safety guardrails and authorization policies for autonomous tool execution
✓Ship a fully functional code review agent with interactive CLI and web endpoints
Prerequisites & Requirements
- Proficiency in Python or TypeScript
- Understanding of REST APIs and async event loops
- An active OpenAI or Google Gemini API key for hands-on exercises
Session Delivery Format
Live Streaming Studio
Interactive AI Sandbox + Zoom Studio
Hands-on live project mentoring included
Meet Your Mentor
Dr
Dr. Elena Rostova
AI Research Lead & Engineer • Cognitive Synthetics
Former ML researcher turned applied AI engineer specializing in autonomous agent architectures and tool execution.
Workshop Fee
₹499Inclusive of all materials
Registered Learners98 / 120
Instant confirmation • In-app calendar update • Live room pass
Included in This Program
Live Interactive Session with Mentor Q&A
Hands-on Capstone Deliverable & Repo Review
Cohort Peer Discussion Channel
