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A fast, practical 2-hour free masterclass on designing, orchestrating, and shipping a production-ready multi-agent system with CrewAI. Build the core blueprint, learn the patterns, and leave with templates you can deploy.

# What you’ll learn

  • Architecture: Roles, tools, memory, routing, retries, and guardrails for agent teams.
  • Orchestration with CrewAI: Tasks, handoffs, planning vs. execution loops, evaluation hooks.
  • Shipping mindset: From notebook to users—logging, simple CI, and lightweight deployment options.
  • Quality & safety: Prompt hygiene, testable behaviors, evals that catch regressions.
  • Blueprint & templates: A starter repo and checklists you can adapt to your use case.

# Who should attend

  • Data scientists, ML/LLM engineers, builders, product hackers.
  • Technical founders exploring agentic apps for real users.
  • Teams evaluating CrewAI for internal tools or external products.

# Live Agenda (120 minutes)

  1. Foundations (15 min): Agent vs. tool vs. planner, when to use multi-agent patterns.
  2. Design (25 min): Defining roles, capabilities, and the task graph; failure modes and recovery.
  3. Build (30 min): CrewAI walkthrough—agents, tasks, memory, tools, evaluators; run a demo crew.
  4. Ship (20 min): Packaging, environment variables, secrets, logs, simple deployment paths.
  5. Quality (15 min): Evals, prompts-as-contracts, measurable outcomes.
  6. Challenge Q&A (15 min): Your use cases, blockers, and next steps.
  7. Pathway (10 min): How this masterclass feeds into the AI Residency for deeper practice.

# Outcomes

  • A working multi-agent blueprint you can adapt after the session.
  • Copy-paste templates for roles, tasks, tools, and evals.
  • A clear checklist for production-readiness (observability, tests, fallbacks).
  • Direction on scaling your project via the AI Residency.

# Prerequisites

  • Basic Python familiarity.
  • Laptop with a browser; Google Colab or local environment works.
  • Optional: an LLM API key to run the full demo.

# Speaker

Mohammad Arshad — Founder, Decoding Data Science; Principal Data Scientist. Leads AI strategy, education, and community initiatives across the region.

# Logistics

  • Date: 25th Oct, Saturday
  • Time: 11:00 AM GST · 12:30 PM IST · 07:30 AM UTC
  • Format: Live online, interactive Q&A
  • Cost: Free

# FAQ

  • Will the recording be shared? YWill the recording be shared? No—recording will not be provided.
  • Will code and slides be provided? Yes, templates and resources will be shared.
  • Is this beginner-friendly? Yes—focused on practical patterns; advanced tips included.
  • Is this a sales session? No. It’s hands-on and outcome-driven. We will briefly outline the AI Residency for those who want to go deeper.

Part of AI Residency
https://academy.decodingdatascience.com/airesidencyfasttrack

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