Master advanced multi-agent AI systems using CrewAI and AutoGen to design, orchestrate, and deploy autonomous agent workflows for real-world enterprise use cases.
Master advanced multi-agent AI systems using CrewAI and AutoGen to design, orchestrate, and deploy autonomous agent workflows for real-world enterprise use cases.
Level
Advanced
Duration
8 weeks
















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.
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
Foundations of Multi-Agent Systems
Introduces theoretical and practical foundations of multi-agent AI systems and why orchestration is critical for complex problem-solving.
LLMs as Agents
Focuses on converting LLMs into reliable agents with defined roles, tools, and decision boundaries.
CrewAI Architecture Deep Dive
Provides hands-on mastery of CrewAI’s orchestration primitives and workflow design patterns.
AutoGen Framework Internals
Explores AutoGen’s agent-to-agent communication model and advanced coordination techniques.
Advanced Orchestration Patterns
Teaches proven orchestration strategies used in research, coding, and enterprise automation.
Seven intentional milestones — from first session to dream job.

Antigravity

Machine Learning

Agentic AI

Python
Select a schedule that works best for you
Starts
04 Jul 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
06 Jul 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
11 Jul 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
13 Jul 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Our team will craft the perfect batch for you.
Real Feedback from our clients
Round-the-clock assistance
Professional profile building
Expert resume crafting
Mentorship from graduates
Mock interviews & tips
Real-world experience



See how we stand out from the competition
Well-structured, up-to-date curriculum designed by industry experts to build strong fundamentals and advanced knowledge.
Outdated or incomplete curriculum that may not cover current industry needs.
Extensive practical sessions, live demos, and hands-on exercises to ensure real learning.
Limited practical exposure with theory-heavy teaching approach.
Learn from certified professionals with years of industry experience and teaching expertise.
Instructors with limited industry experience or practical knowledge.
Work on real-world projects that enhance problem-solving skills and build a strong portfolio.
Lack of real-world projects or unrealistic practice examples.
Regular assignments, quizzes, and assessments to track progress and strengthen concepts.
Irregular assessments or no proper evaluation of learning.
Resume building, interview preparation, and placement assistance to boost your career.
Limited or no career support and placement assistance.
24/7 doubt resolution and personalized guidance from instructors whenever you need it.
Slow doubt resolution or limited support availability.
Industry-recognized certificate that validates your skills and enhances your career opportunities.
Certificates with little industry value or recognition.
Lifetime access to course content, recordings, and resources even after completing the course.
Limited access duration with extra charges for resources.
High-quality training at affordable prices with no hidden costs and flexible payment options.
High course fees with hidden charges and no flexibility.
Advanced Multi-Agent Orchestration (The "CrewAI & AutoGen" Expert) – Associate
130 minutes
Multiple Choice & Multi-Response
720 (Scale: 100–1000)
Associate

Prepare
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
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.
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Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
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