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Agentic Ai
Advanced Multi-Agent Orchestration (The "CrewAI & AutoGen" Expert)
5/5

Level

Advanced

Duration

8 weeks

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What is Advanced Multi-Agent Orchestration (The "CrewAI & AutoGen" Expert)?

Advanced Multi-Agent Orchestration (The “CrewAI & AutoGen” Expert) is a specialized, industry-aligned program designed for professionals who want to build, manage, and scale autonomous AI agent systems. This course goes far beyond single-agent LLM usage and focuses on collaborative intelligence, where multiple agents communicate, reason, delegate tasks, and self-correct within complex workflows. Learners will gain deep expertise in CrewAI and Microsoft AutoGen, understanding agent roles, memory, planning strategies, tool execution, and feedback loops. The curriculum emphasizes real-world orchestration patterns such as hierarchical agents, swarm intelligence, role-based delegation, and event-driven coordination. You will also explore evaluation, debugging, security, and cost optimization strategies critical for production deployments. By the end of the course, you will be capable of architecting robust multi-agent systems for research automation, data analysis, software development, customer operations, and decision intelligence. Delivered through hands-on labs and enterprise-grade projects on Jast Tech, this course prepares you for cutting-edge AI engineering and applied agentic system roles.

Job Roles You Can Achieve

After completing this course

  • Software Engineer
  • ML Engineer
  • Ai Developer
  • Agentic AI
  • Vibe Code
  • Uchiha Madara
  • Harry Potter
  • Software Engineer
  • ML Engineer
  • Ai Developer
  • Agentic AI
  • Vibe Code
  • Uchiha Madara
  • Harry Potter

Advanced Multi-Agent Orchestration (The "CrewAI & AutoGen" Expert) Curriculum

1
Module 01

Foundations of Multi-Agent Systems

Introduces theoretical and practical foundations of multi-agent AI systems and why orchestration is critical for complex problem-solving.

Single-Agent vs Multi-Agent Paradigms
Agent Communication & Coordination Models
Agent Autonomy and Emergent Behavior
2
Module 02

LLMs as Agents

Focuses on converting LLMs into reliable agents with defined roles, tools, and decision boundaries.

Reasoning, Planning, and Tool-Calling
Prompt Engineering for Agent Roles
Agent Memory Types
3
Module 03

CrewAI Architecture Deep Dive

Provides hands-on mastery of CrewAI’s orchestration primitives and workflow design patterns.

Crews, Agents, Tasks, and Processes
Sequential vs Hierarchical Crews
Shared Memory and Context Passing
4
Module 04

AutoGen Framework Internals

Explores AutoGen’s agent-to-agent communication model and advanced coordination techniques.

Conversational Agents & Group Chats
Function Calling and Tool Execution
AutoGen Workflow Control
5
Module 05

Advanced Orchestration Patterns

Teaches proven orchestration strategies used in research, coding, and enterprise automation.

Manager-Worker Architectures
Planner-Executor Models
Swarm and Debate-Based Agents

Related Courses

Training Roadmap

Seven intentional milestones — from first session to dream job.

Onboarding

01
  • Meet your industry mentor
  • Define your goals
  • Skill gap assessment

Core Learning

02
  • Live interactive classes
  • AI-curated content
  • Recorded sessions

Hands-on Practice

03
  • Weekly assignments
  • MCQ evaluations
  • Module quizzes

Real Projects

04
  • 3 live industry projects
  • Portfolio building
  • Case studies

Mentorship

05
  • 1:1 doubt sessions
  • Peer collaboration
  • Expert feedback

Certification

06
  • Exam preparation
  • Practice dumps
  • Industry-recognised certificate

Career Launch

07
  • Resume crafting
  • Mock interviews
  • Job placement support

Key Projects

Hands-on experience with real-world scenarios designed for mastery.

Autonomous Research & Report Generation Crew

Design and implement a multi-agent research system where planner, researcher, analyst, and editor agents collaboratively gather information, validate sources, synthesize insights, and produce structured executive-level reports with minimal human intervention while maintaining traceability and quality control.

AI Software Development Agent Team

Build an AutoGen-based agent team consisting of product manager, developer, reviewer, and tester agents that collaboratively convert requirements into working code, perform automated reviews, fix defects, and iteratively improve software output using tool-driven execution.

Enterprise Decision-Support Agent System

Create a hierarchical CrewAI system that ingests business data, performs analysis through specialist agents, debates multiple solution paths, and delivers optimized strategic recommendations with explainable reasoning and confidence scoring.

Skills and Tools You Will Learn

Antigravity

Antigravity

Machine Learning

Machine Learning

Agentic AI

Agentic AI

Python

Python

Available Course Schedules

Select a schedule that works best for you

Weekend

Starts

23 May 2026

Time

09:30 AM – 12:30 PM

Duration

8 weeks

Weekdays

Starts

25 May 2026

Time

07:00 AM – 09:00 AM

Duration

8 weeks

Weekend

Starts

30 May 2026

Time

02:00 PM – 05:00 PM

Duration

8 weeks

Weekdays

Starts

01 Jun 2026

Time

08:00 PM – 10:00 PM

Duration

8 weeks

Need a custom schedule?

Our team will craft the perfect batch for you.

What Our Happy Clients Say

Real Feedback from our clients

What We Offer Beyond Courses

24/7 Support

Round-the-clock assistance

LinkedIn Profile

Professional profile building

Resume Writing

Expert resume crafting

Alumni Guidance

Mentorship from graduates

Interview Prep

Mock interviews & tips

Live Projects

Real-world experience

Review from Tejas Kumar

Tejas Kumar

Review from Sakshi Singh

Sakshi Singh

Review from Sanjay Patel

Sanjay Patel

Specialized Training Programs

JastTech For Corporates

JastTech Courses

Certification Details

Advanced Multi-Agent Orchestration (The "CrewAI & AutoGen" Expert) – Associate

  • Exam Name

    Advanced Multi-Agent Orchestration (The "CrewAI & AutoGen" Expert) – Associate

  • Exam Code

    SAA-C03

  • Duration

    130 minutes

  • Format

    Multiple Choice & Multi-Response

  • Passing Score

    720 (Scale: 100–1000)

  • Level

    Associate

Certificate of Completion

Prepare

Top Interview Questions

Curated questions with expert answers to help you ace your next interview.

Q1. What problem do multi-agent systems solve compared to single-agent LLMs?

They enable task decomposition, parallel reasoning, role specialization, and improved reliability for complex workflows.

Q2. How does CrewAI differ from AutoGen?

CrewAI emphasizes structured task orchestration with defined roles, while AutoGen focuses on conversational agent interactions and dynamic workflows.

Q3. What is a planner-executor pattern?

A design where one agent plans tasks and delegates execution to specialized agents, improving accuracy and efficiency.

Q4. How do you manage memory in multi-agent systems?

By combining short-term context, long-term vector memory, and shared knowledge stores across agents.

Q5. What are common failure modes in agent orchestration?

Hallucinations, infinite loops, tool misuse, context loss, and cost overruns, mitigated through evaluation and guardrails.

Support

Frequently Asked FAQs

Can't find what you're looking for? Reach out to our support team anytime.

Q1. Is prior AI or LLM experience required?

Yes, familiarity with Python and basic LLM concepts is recommended to fully benefit from advanced orchestration topics.

Q2. Does this course focus more on theory or practice?

It is highly practical, with real-world orchestration patterns, labs, and production-style projects.

Q3. Are CrewAI and AutoGen both covered in depth?

Yes, the course provides deep, hands-on coverage of both frameworks and compares their strengths.

Q4. Can these skills be applied in enterprise environments?

Absolutely, the course emphasizes scalability, security, evaluation, and real deployment scenarios.

Q5. What roles does this course prepare me for?

AI Engineer, Agentic Systems Architect, Applied GenAI Engineer, and Automation Architect.

The support team was very cooperative and responsive. They made sure all doubts were cleared without delay. Great experience overall.

Vedant Shinde
Vedant Shinde

I had a great experience with the RF Circuit Design course. Thanks to the teaching staff for such a well planned and structured curriculum it really helped me clear my technical certification for my job.

Irfan Shah
Irfan Shah

I enrolled in the Post-Silicon Validation Certification Training at JastTech and found it quite different from typical courses. They focus on debugging techniques and real chip-level scenarios, which gave me a better idea of how things work.

Gayatri Sonawane
Gayatri Sonawane

One thing I really liked about the Data Analyst course at JastTech is their focus on consistency. Regular sessions and tasks help you stay on track and build a daily learning habit. Also, they provide recordings after live sessions, which help in revision.

Sanmitra Kamble
Sanmitra Kamble

I joined JastTech for the DFT course a few months back. At first, I wasn’t sure what to expect, but the classes turned out to be really helpful. The teaching is simple and not too complicated, which helped me keep up.

sachin kumar
sachin kumar

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