Intermediate

    Architectural Patterns in CrewAI and Autogen

    This course explores the architectural foundations of agentic AI systems by contrasting CrewAI’s role-based orchestration with AutoGen’s conversation-driven reasoning. You will move from theoretical concepts to hands-on implementation, bui…

    2+
    enrolled
    3 hrs
    of instruction
    12
    lectures
    5
    modules
    Photo of Abhishek KumarTaught by Abhishek Kumar
    Architectural Patterns in CrewAI and Autogen

    What's inside

    Live sessions
    4 · 88 min
    Decks & handouts
    7
    Readings
    1

    01 · What you'll be able to do

    Five things you can ship afterwards.

    This course explores the architectural foundations of agentic AI systems by contrasting CrewAI’s role-based orchestration with AutoGen’s conversation-driven reasoning. You will move from theoretical concepts to hands-on implementation, building structured workflows and dynamic multi-agent loops while understanding production tradeoffs, determinism, debugging, and scalability.

    When to choose structured

    When to choose structured orchestration, dynamic collaboration, or hybrid architectures.

    How AutoGen enables emergent

    How AutoGen enables emergent reasoning through agent interaction.

    How CrewAI enforces structured

    How CrewAI enforces structured task execution and deterministic workflows.

    Architectural differences between pipeline

    Architectural differences between pipeline orchestration and conversational loops.

    The paradigm shift

    The paradigm shift from passive LLM prompts to autonomous multi-step agent systems.

    02 · Curriculum

    What's in the course.

    5 modules · 12 lectures · 88 min of sessions

    01 · 30m02 · 30m03 · 17m04 · 11m

    Each block is one module, sized by session length.

    • Journey from LLMs to Agents30m
    • Journey from LLMs to Agents - Slide Deck (PDF)Deck

    03 · Instructors

    Taught by the people who built it.

    Abhishek Kumar

    Abhishek Kumar

    Instructor · 14 courses on ADaSci

    All courses by Abhishek

    04 · Is it for you?

    Who it's for, and what to bring.

    Built for

    • AI engineers building multi-agent applications
    • Software architects designing AI-native systems
    • Developers transitioning from prompt engineering to agent orchestration
    • Technical leaders evaluating CrewAI versus AutoGen for production use

    Bring with you

    • Working knowledge of APIs and environment setup
    • Basic Python programming knowledge
    • Familiarity with LLM concepts such as prompts and API usage
    • Understanding of software architecture fundamentals
    CAASA badge

    Next step · Prove it

    This course prepares you for the CAASA credential.

    The Certified Agentic AI System Architect (CAASA) exam tests the skills this course teaches. Members sit it at a discount.

    See CAASA

    05 · FAQ

    Before you enrol.

    Each of the 5 modules is a recorded live session, with slide deck and handouts, readings from that session. Watch at your own pace.

    $49.00

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