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Agentic AI Training Program

Design autonomous, reasoning AI agents that plan, use tools and collaborate. Master CrewAI, multi-agent orchestration, and production-grade agentic systems.

What You'll Master

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Foundations of AI Agents

Understand goal-setting, memory, tools and reasoning loops that power autonomous agents.

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Multi-Agent Systems with CrewAI

Build collaborative agent teams with role specialization and delegation.

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Tool Integration & External Systems

Connect agents to APIs, databases and web search with safety guardrails.

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Production Agent Orchestration

Deploy and monitor agent workflows with FastAPI and observability tooling.

Detailed Modules

  • Evolution from traditional AI to Generative AI to Agentic AI
  • What is an AI Agent? Core components: Goal, Memory, Tools, Reasoning, Environment interaction
  • Autonomous vs Reactive systems
  • Agentic workflow lifecycle
  • Role of LLMs in agent systems; prompt-based reasoning
  • Chain-of-Thought reasoning; ReAct (Reason + Act) paradigm
  • Structured outputs for action execution; limitations of LLM reasoning
Hands-on
  • Implement a reasoning-based task executor
  • Overview of CrewAI architecture; core components: Agents, Tasks, Crews, Processes
  • Agent roles and responsibilities; task delegation and collaboration
  • Sequential vs hierarchical workflows
Hands-on
  • Build a single-agent workflow using CrewAI
  • Goal definition and task planning
  • Memory integration (short-term and long-term)
  • Tool integration (APIs, search tools, calculators)
  • Output validation, structured responses & error handling
Mini Project
  • AI Research Assistant Agent — accepts a topic, searches sources, summarizes findings and generates a structured report
  • Why multi-agent systems? Role specialization and collaboration
  • Delegation strategies; hierarchical agent structures
  • Coordinator vs worker agents; conflict resolution
Hands-on
  • Build a multi-agent research team: Researcher, Analyst, Writer and Reviewer Agents
  • Sequential multi-agent pipelines; hierarchical orchestration
  • Parallel execution strategies; collaborative planning loops
  • Agent memory sharing and context propagation
Mini Project
  • AI Business Strategy Simulator: Market Research, Financial Analyst, Strategy Consultant & Final Decision Agents
  • Tool creation in CrewAI; API and database access
  • Web search integration; file system interaction
  • Structured tool schemas; tool safety and validation
Industry Project
  • Multi-agent Data Analysis System: CSV ingestion, data cleaning, insight generation and report generation
  • Planning strategies in agents; task decomposition
  • Goal refinement; iterative reasoning loops
  • Reflection, self-correction and multi-step execution control
Agent Evaluation Criteria
  • Task completion rate, tool call accuracy, reasoning correctness
  • Output quality, efficiency (latency/cost) and hallucination rate
Multi-Agent Evaluation
  • Collaboration effectiveness, delegation accuracy, conflict handling and workflow stability
  • LLM hallucinations; tool misuse or incorrect invocation
  • Cascading reasoning errors; over-delegation issues
  • Latency in multi-agent workflows; cost scaling challenges
Mitigation Strategies
  • Guardrails and validation layers; retrieval grounding; tool verification
  • Human-in-the-loop control; monitoring, logging and fallback mechanisms
  • Agent memory persistence; multi-agent negotiation systems
  • Role-based dynamic agent creation; long-running workflows
  • Event-driven agent systems; multi-agent simulations
  • Backend integration (FastAPI); agent orchestration servers
  • Monitoring, logging, observability and tracing
  • Scaling agent workflows, cost optimization and security considerations
Capstone Project
  • Clearly defined business objective; multi-agent role design
  • Tool integration, reasoning workflow, evaluation metrics & deployment as API
Example Capstone Options
  • Multi-Agent Market Research System
  • Autonomous AI Content Production Team
  • AI Consulting Simulation Platform
  • Enterprise Task Automation System
  • Academic Research Assistant Crew

Tools You'll Master

smart_toy CrewAI link LangChain cloud FastAPI travel_explore Vector Databases search Web Search APIs code Python

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