Agentic AI & Autonomous Multi-Agent Systems Course in Delhi
Master Autonomous AI Agents, Agentic Design Patterns, LangGraph, CrewAI, AutoGen, Model Context Protocol (MCP), Tool Use, and Enterprise Multi-Agent Systems.
Why Master Agentic AI & Autonomous Multi-Agent Systems Course in Delhi?
Engineered from the ground up to give you an unfair competitive edge in technical screening rounds, system design, and production engineering.
Master the 4 Fundamental Agentic Design Patterns
Learn Reflection, Tool Use, Planning, and Multi-Agent Collaboration popularized by Stanford and DeepLearning.AI to build robust compound AI systems.
Controllable Graph Orchestration with LangGraph
Build stateful cyclic graphs with conditional routers, persistent memory checkpointers, and human-in-the-loop (HITL) approval gates.
Enterprise Multi-Agent Systems (CrewAI & AutoGen)
Orchestrate role-playing crews and conversational group chats where specialized agents autonomously collaborate to solve complex business tasks.
Highest-Demand AI Engineering Skill
Top AI startups and Fortune 500 enterprises are shifting budgets from basic chatbots to autonomous agentic workflows that execute real-world tasks.
Guaranteed Fast-Track Technical Placement Pathway
Mock code screens, system architecture drills, and direct referrals to MAANG & tier-1 product startups.
Curriculum & Technical Roadmap
Engineered from core programmatic syntax to distributed architecture and production deployment. Every module is paired with live exercises and code reviews.
Foundations of Agentic AI & Cognitive Architectures
From Monolithic LLMs to Compound Agentic Systems
Understand the fundamental architectural shift from single-turn zero-shot generation to autonomous, iterative perception-action loops that reason over long horizons.
The 4 Core Agentic Design Patterns
Deep dive into Andrew Ng's foundational agentic patterns: Reflection (self-critique), Tool Use (API grounding), Planning (goal decomposition), and Multi-Agent Collaboration.
Cognitive Decision Frameworks (ReAct, Plan-and-Solve, ToT)
Implement modern reasoning architectures including ReAct (Reason + Act), Plan-and-Solve prompting, Reflexion, and Tree-of-Thought (ToT) heuristic search.
Agent Memory Systems (Working, Episodic & Semantic)
Architect hierarchical agent memory: short-term context window management, long-term episodic memory storage, semantic vector retrieval, and KV-cache optimization.
From Monolithic LLMs to Compound Agentic Systems
Understand the fundamental architectural shift from single-turn zero-shot generation to autonomous, iterative perception-action loops that reason over long horizons.
The 4 Core Agentic Design Patterns
Deep dive into Andrew Ng's foundational agentic patterns: Reflection (self-critique), Tool Use (API grounding), Planning (goal decomposition), and Multi-Agent Collaboration.
Cognitive Decision Frameworks (ReAct, Plan-and-Solve, ToT)
Implement modern reasoning architectures including ReAct (Reason + Act), Plan-and-Solve prompting, Reflexion, and Tree-of-Thought (ToT) heuristic search.
Agent Memory Systems (Working, Episodic & Semantic)
Architect hierarchical agent memory: short-term context window management, long-term episodic memory storage, semantic vector retrieval, and KV-cache optimization.
Need a customized syllabus or corporate training track?
Custom curriculums, live sandboxes, and dedicated mentors for engineering teams & colleges.
Build 12+ Capstone Projects
Don't just write toy scripts. Build enterprise-grade systems, automated scrapers, predictive models, and RESTful APIs for your GitHub portfolio.
Autonomous Full-Stack Software Engineering Agent
Build an end-to-end coding agent using LangGraph, Docker code execution sandboxes, and Model Context Protocol (MCP) that reads repository files, writes unit tests, implements features, and creates GitHub pull requests autonomously.
Enterprise Financial Due-Diligence Multi-Agent System
Deploy a hierarchical multi-agent squad using CrewAI comprising Financial Analyst, Document Auditor, and Report Writer agents to parse SEC filings, extract financial metrics, cross-verify numbers, and generate audit-ready PDF dossiers.
Self-Healing Customer Operations Agent with Human-in-the-Loop
Develop a production customer operations agent in LangGraph with thread persistence, SQL database access, CRM tool execution, and automated interrupt checkpoints for human approval before executing financial refunds.
Why Choose Datadrix?
Learn and grow as an industry-ready engineer with our project-based courses and personal guidance.
Superb Mentors
Best-in-class mentors from top Tech schools and tier-1 product companies are here to teach you.
Industry-Vetted Curriculum
Best-in-class content, aligned directly to modern technology workflows and enterprise standards.
Project Based Learning
Hands-on pedagogy with live code bases to emphasize real practical knowledge over abstract theory.
Superb Placements
Result-oriented preparation with mock interviews and referrals to 400+ hiring partners.
Certificate of Completion
Validate Your Expertise and Propel Your Career. Joining DATADRIX means you'll create an amazing network, make new connections, and leverage diverse opportunities.
Expand Opportunities
Certifications unlock new career opportunities, gain credibility with employers, and open doors to higher-level positions.
Continuous Growth
Certifications validate your current skills and encourage continuous professional development to stay ahead of industry trends.
MongoDB Verifiable Registry
Every certificate includes a unique ID verifiable on our official validation portal anytime by recruiters.
Presented upon successful completion of Agentic AI & Autonomous Multi-Agent Systems Course in Delhi
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See What Our Students Say
Joining DATADRIX means you'll create an amazing network, make new connections, and leverage diverse opportunities.
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Got Questions? We Have Answers
Learn and grow as an industry-ready developer with our project-based courses.
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