Agentic AI Crew AI Autogen Training

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10 week

Course Overview

About Course

This 40‑hour regime, crafted by Rabbitt Learning and others, equips beginners and intermediate developers to build autonomous multi-agent AI systems using CrewAI and Microsoft AutoGen Learners explore core Agentic AI concepts—reactive, goal-based, utility, and learning agents—understanding what differentiates them from basic automation

The curriculum spans agent architecture (planning loops, reflection, memory, tool use, and guardrails), role-based orchestration with CrewAI, and conversational multi-agent flows via AutoGen—including tool-calling and nested dialogues real-world projects guide hands-on development: a financial advisor, hiring assistant, code optimization agent, and content pipeline.

Ethical AI is integral, covering bias, fairness, transparency, and auditability. Capstone work and career coaching—resume style-ups, mock interviews—ensure readiness for roles like AI Workflow Engineer With tools, patterns, and full-stack deployment—from CI/CD to observability—graduates learn to design, develop, and productionize agentic systems responsibly and effectively

By course end, participants master designing autonomous workflows, integrating memory and tools, layering guardrails, and orchestrating production-grade agent ecosystems with ethical foundations and professional career assets.

 

  1. Course Syllabus

    1. Introduction to Agentic AI (4h)
    • Description: Define agentic vs. traditional automation; explore agent types—reactive, goal-based, utility-driven, and learning agents.
    • Outcome: Understand when and why autonomous agents matter
    1. Agent Architectures & Design Patterns (6h)
    • Description: Delve into planning loops, memory (short/long-term), reflection, tool use, ReAct, guardrails.
    • Outcome: Build robust agent brains using key patterns like reflection and planning
    1. CrewAI Essentials: Role-Based Orchestration (6h)
    • Description: Learn to construct agent crews (e.g., researchers, writers, QA) working in parallel, hierarchical workflows.
    • Outcome: Orchestrate role-specialized agents with memory and tool integrations
    1. AutoGen Studio Fundamentals (6h)
    • Description: Use Microsoft AutoGen to choreograph conversational agent interactions, tool-calling, and chain orchestration.
    • Outcome: Deploy multi-agent dialogs, nested exchanges, and dynamic workflows
    1. Project I – Financial Decision Agent (4h)
    • Description: Build a CrewAI + AutoGen system that ingests financial data, uses tool calls, and outputs investment recommendations.
    • Outcome: Data-oriented agent execution with tool use & memory.
    1. Project II – AI-Powered Hiring Assistant (4h)
    • Description: Create a pipeline: shortlist, generate interview scripts, and conduct candidate evaluation.
    • Outcome: End-to-end hiring workflow via orchestrated agent roles.
    1. Project III – Code Optimization Agent (4h)
    • Description: Develop an agent to parse, refactor, and QA-check code autonomously.
    • Outcome: Code review/build automation using agents.
    1. Project IV – Content Generation Pipeline (4h)
    • Description: Implement agents for ideation, drafting, editing, and style adaptation in content workflows.
    • Outcome: Multi-agent content creation scaffold.
    1. Ethics, Governance & Risk Management (4h)
    • Description: Address bias, fairness, legal accountability, audit logging, and multi-agent safety guardrails.
    • Outcome: Responsible, transparent systems design 10. Deployment & Monitoring (4h)
    • Description: Production readiness: CI/CD, logging, alerting, dashboarding, resilience, and observability.
    • Outcome: Operational AI agents in production.

    Capstone Project (2h lecture + 6h project)

    • Description: Learner scopes and builds a fully autonomous agent system, with peer reviews and instructor feedback.
    • Outcome: Portfolio-ready agentic AI application.

    Bonus: Career Prep & Coaching (4h)

    • Description: Resume enhancements, mock interviews, and role-play as an “AI Workflow Engineer.”
    • Outcome: Career-launch support for agentic AI roles.

     

  • Key Features

      Project‑First Approach: Four categories of real-world projects plus a comprehensive capstone

      CrewAI + AutoGen Combo: Best-practice orchestration using both frameworks

      Design Patterns Focus: Leveraging reflection, planning, tool use, and multi-agent coordination

      Domain Applications: Finance, hiring, devops, content pipelines

      Ethics & Governance: Fairness, transparency, auditability

      Production Emphasis: Logging, CI/CD, resilience, monitoring

      Support Ecosystem: Live labs, code examples, community access

      Career Support: Portfolio coaching and mock interview sessions

     

 Our Upcoming Batches

At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.

Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.

Training Timetable

Batches Online/OfflineBatch Start DateSession DaysTime Slot (IST)Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri7:00 AM (Class 1-1.30 Hrs)View Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri11:00 AM (Class 1-1.30 Hrs)View Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri5:00 PM (Class 1-1.30 Hrs)View Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri7:00 PM (Class 1-1.30 Hrs)View Fees
Weekends (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Sat-Sun7:00 AM (Class 3 Hrs)View Fees
Weekends (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Sat-Sun10:00 AM (Class 3 Hrs)View Fees
Weekends (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Sat-Sun11:00 AM (Class 3 Hrs)View Fees

For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.

Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.

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