Multi-Agent Systems with CrewAI & AutoGen Course in Hyderabad
Design collaborating AI agent teams with CrewAI, AutoGen and the Microsoft Agent Framework
The Multi-Agent Systems course teaches you to design, build and evaluate teams of AI agents that cooperate on complex tasks. You start with agent fundamentals: LLM reasoning, tool use, memory, planning and when a single agent is enough. You then build with CrewAI, using agents, tasks, crews, flows, tools and memory, and with Microsoft AutoGen, covering conversational and group-chat patterns. Microsoft moved AutoGen to maintenance mode and released Microsoft Agent Framework 1.0 as its successor in April 2026, and a community fork, AG2, continues AutoGen's design, so the course teaches the shared concepts and compares the frameworks so you can choose and migrate. Later modules cover coordination patterns such as supervisor, sequential, parallel and debate, tool and API integration, the Model Context Protocol, human-in-the-loop controls, guardrails, evaluation, observability, cost control and deployment. The course suits developers with intermediate Python. You build several multi-agent applications and a capstone. Classes run in Ameerpet, Hyderabad, and in live online batches.
Syllabus
Agent Fundamentals
- •What an agent is: model, instructions, tools, memory and loop
- •Reasoning and planning patterns such as ReAct and plan-and-execute
- •When to use one agent and when to use several
- •Lab: Build a single tool-using agent in plain Python
- •Outcome: Explain agent architecture and its limits
LLM, Tools & Python Setup
- •Chat model APIs and function calling
- •Structured outputs with Pydantic and secrets management
- •Virtual environments and project structure
- •Lab: Create reusable tools and a test harness
- •Outcome: A solid base for agent frameworks
CrewAI Basics: Agents, Tasks & Crews
- •CrewAI concepts: agents, tasks, crews and processes
- •Writing effective roles, goals and task descriptions
- •Sequential and hierarchical processes
- •Lab: Build a research and writing crew
- •Outcome: Create a working crew
CrewAI Tools, Memory & Flows
- •Built-in and custom tools; calling external APIs
- •Memory and knowledge sources
- •Flows for deterministic orchestration around crews
- •Lab: Build a flow that routes work to specialised crews
- •Outcome: Combine autonomy with controlled steps
AutoGen: Conversational Agents
- •AutoGen architecture and conversational agents
- •Assistants, user proxies and tool use
- •Group chats, speaker selection and termination conditions
- •Lab: Build a coding assistant and reviewer pair
- •Outcome: Build agent conversations that finish reliably
AutoGen Status, AG2 & Microsoft Agent Framework
- •AutoGen moved to maintenance mode; AG2 as a community fork
- •Microsoft Agent Framework 1.0 concepts and how they relate to AutoGen
- •Choosing and migrating between frameworks
- •Lab: Port a small AutoGen agent to Microsoft Agent Framework
- •Outcome: Make sound framework decisions in a fast-moving field
Coordination Patterns
- •Supervisor and handoff patterns
- •Sequential pipelines, parallel fan-out and aggregation
- •Debate, critique and reflection loops
- •Lab: Compare two patterns on the same task
- •Outcome: Pick a coordination pattern with evidence
Tool Integration & Model Context Protocol
- •Integrating REST APIs, databases and web search
- •Model Context Protocol servers and clients
- •Permissions and sandboxing for tools
- •Lab: Connect agents to an MCP server
- •Outcome: Give agents controlled access to real systems
Memory, RAG & State
- •Short-term and long-term agent memory
- •Retrieval for agents; sharing context between agents
- •Context window management and summarisation
- •Lab: Add document retrieval to a crew
- •Outcome: Keep agents informed without overflowing context
Human Oversight, Safety & Guardrails
- •Human-in-the-loop approvals for risky actions
- •Budgets, step limits and failure handling
- •Prompt injection through tools and documents; red-team basics
- •Lab: Add approvals and limits to an agent team
- •Outcome: Prevent runaway or unsafe agent behaviour
Evaluation & Observability
- •Defining success metrics and test tasks for agent teams
- •Tracing agent runs and token cost per task
- •Regression testing after prompt or model changes
- •Lab: Build an evaluation set and compare configurations
- •Outcome: Measure agent quality and cost
Deployment & Capstone
- •Serving agent teams through an API with background jobs
- •Docker, configuration and secrets
- •Capstone: multi-agent business workflow with tools, approvals, evaluation and a demo
- •Portfolio write-up and interview practice
- •Outcome: A deployed multi-agent application
Tools Covered
Projects Included
- Research and Report Crew: Build a CrewAI crew that researches a topic and drafts a cited brief; deliverable is a runnable project and sample output.
- Code and Review Pair: Build an agent pair where one writes tests and another reviews code; deliverable is a transcript and a test run.
- Flow-Controlled Support Triage: Route tickets to specialised crews with a CrewAI flow and human approval; deliverable is a flow diagram and demo.
- Pattern Comparison Study: Implement supervisor and debate patterns on one task and compare quality and cost; deliverable is a short report.
- Capstone Multi-Agent Workflow: Combine tools, memory, MCP, approvals and evaluation for a business process; deliverable is a GitHub repository and architecture diagram.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the Multi-Agent Systems with CrewAI & AutoGen course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on Multi-Agent Systems with CrewAI & AutoGen.
Certificate of Completion
Multi-Agent Systems with CrewAI & AutoGen
This certifies that
[Your Name]
has successfully completed the
Multi-Agent Systems with CrewAI & AutoGen
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured Multi-Agent Systems with CrewAI & AutoGen course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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Best Multi-Agent Systems with CrewAI & AutoGen Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include AI Agent Engineer, Generative AI Developer, Automation Engineer (AI), AI Solutions Engineer; support is guidance with the job search, not a guarantee of a job.