How do I make agents reliably use tools?
You will design schema-safe tool contracts, validator loops, and fallback behavior for partial failure cases.
COURSE 2 · AGENT SYSTEMS
Move from single-model apps to autonomous agent systems.
Design agents that reason, act, and recover under real production constraints.
Build tool-using agents, MCP integrations, planning loops, multi-agent orchestration, and hardened safety controls.
Start
Oct 10, 2026
Format
Live architecture + coding labs
Commitment
8 weeks · 4 hours/week
ReAct + Plan/Execute + Reflection
Core patterns
Model Context Protocol (MCP)
Protocol focus
Autonomous Research Agent
Capstone
LangGraph / AutoGen / CrewAI
Frameworks
In This Session
Everything you need to evaluate your next move
What is MCP and why should I care?
MCP gives you a standardized integration layer so your agents can discover and use tools consistently.
Can I ship this securely?
You will implement sandboxing, policy checks, and safety gates aligned with real enterprise constraints.
Do frameworks help or hide complexity?
You learn the underlying patterns first, then use frameworks intentionally for scale and maintainability.
What You Will Leave With
Practical outcomes, not just theory
- Implement function-calling assistants against real APIs and internal tools.
- Design and expose custom MCP servers for reusable enterprise integrations.
- Build planner/executor and multi-agent pipelines with observability hooks.
- Harden autonomous workflows with security controls and guardrails.
Certificate
Completion certificate for verified track milestones.
Capstone Project
Build and present a portfolio-ready final implementation.
Practical Labs
Hands-on exercises focused on real engineering workflows.
Assessments
Project-based evaluation with actionable instructor feedback.
Curriculum roadmap
Cohort Track
Part 1
Week 1 - Tool Use + Function Calling
Give agents practical capabilities through robust tool interfaces.
Part 2
Week 2 - Model Context Protocol
Build MCP servers and connect clients for portable tool integration.
Part 3
Week 3 - Agent Foundations
Autonomous loops with observation, reasoning, and action cycles.
Part 4
Week 4 - Planning + Reasoning
Task decomposition, dependency handling, and failure recovery.
Part 5
Week 5 - Multi-Agent Systems
Specialized sub-agents coordinated through orchestrator patterns.
Part 6
Week 6 - Safety + Security
Policy enforcement, output validation, and secure execution boundaries.
Part 7
Week 7 - Frameworks in Production
LangGraph, AutoGen, and CrewAI implementation strategies.
Part 8
Week 8 - Capstone
Autonomous research agent delivering structured output end-to-end.
Live Calendar
AI Systems Schedule by Date
Saturday and Sunday · 11:00 AM PST · 2 hours/session
Add All Sessions to CalendarSaturday
Sat, Oct 10, 2026
Upcoming
Week 1 - Tool Use + Function Calling
Give agents practical capabilities through robust tool interfaces.
11:00 AM PST · Upcoming
Sunday
Sun, Oct 11, 2026
Upcoming
Week 1 - Tool Use + Function Calling - Lab and Q&A
Hands-on implementation and feedback for week 1 - tool use + function calling.
11:00 AM PST · Upcoming
Saturday
Sat, Oct 17, 2026
Upcoming
Week 2 - Model Context Protocol
Build MCP servers and connect clients for portable tool integration.
11:00 AM PST · Upcoming
Sunday
Sun, Oct 18, 2026
Upcoming
Week 2 - Model Context Protocol - Lab and Q&A
Hands-on implementation and feedback for week 2 - model context protocol.
11:00 AM PST · Upcoming
Saturday
Sat, Oct 24, 2026
Upcoming
Week 3 - Agent Foundations
Autonomous loops with observation, reasoning, and action cycles.
11:00 AM PST · Upcoming
Sunday
Sun, Oct 25, 2026
Upcoming
Week 3 - Agent Foundations - Lab and Q&A
Hands-on implementation and feedback for week 3 - agent foundations.
11:00 AM PST · Upcoming
Saturday
Sat, Oct 31, 2026
Upcoming
Week 4 - Planning + Reasoning
Task decomposition, dependency handling, and failure recovery.
11:00 AM PST · Upcoming
Sunday
Sun, Nov 1, 2026
Upcoming
Week 4 - Planning + Reasoning - Lab and Q&A
Hands-on implementation and feedback for week 4 - planning + reasoning.
11:00 AM PST · Upcoming
Saturday
Sat, Nov 7, 2026
Upcoming
Week 5 - Multi-Agent Systems
Specialized sub-agents coordinated through orchestrator patterns.
11:00 AM PST · Upcoming
Sunday
Sun, Nov 8, 2026
Upcoming
Week 5 - Multi-Agent Systems - Lab and Q&A
Hands-on implementation and feedback for week 5 - multi-agent systems.
11:00 AM PST · Upcoming
Saturday
Sat, Nov 14, 2026
Upcoming
Week 6 - Safety + Security
Policy enforcement, output validation, and secure execution boundaries.
11:00 AM PST · Upcoming
Sunday
Sun, Nov 15, 2026
Upcoming
Week 6 - Safety + Security - Lab and Q&A
Hands-on implementation and feedback for week 6 - safety + security.
11:00 AM PST · Upcoming
Saturday
Sat, Nov 21, 2026
Upcoming
Week 7 - Frameworks in Production
LangGraph, AutoGen, and CrewAI implementation strategies.
11:00 AM PST · Upcoming
Sunday
Sun, Nov 22, 2026
Upcoming
Week 7 - Frameworks in Production - Lab and Q&A
Hands-on implementation and feedback for week 7 - frameworks in production.
11:00 AM PST · Upcoming
Saturday
Sat, Nov 28, 2026
Upcoming
Week 8 - Capstone
Autonomous research agent delivering structured output end-to-end.
11:00 AM PST · Upcoming
Sunday
Sun, Nov 29, 2026
Upcoming
Week 8 - Capstone - Lab and Q&A
Hands-on implementation and feedback for week 8 - capstone.
11:00 AM PST · Upcoming
Inside the learning experience
Every session is built around implementation outcomes. These modules show exactly what you will build, practice, and carry into real projects.
Module 1
Week 1 - Tool Use + Function Calling
Give agents practical capabilities through robust tool interfaces.
Module 2
Week 2 - Model Context Protocol
Build MCP servers and connect clients for portable tool integration.
Module 3
Week 3 - Agent Foundations
Autonomous loops with observation, reasoning, and action cycles.
Module 4
Week 4 - Planning + Reasoning
Task decomposition, dependency handling, and failure recovery.
Module 5
Week 5 - Multi-Agent Systems
Specialized sub-agents coordinated through orchestrator patterns.
Session Host
Experience
25 years of IT experience across engineering delivery, quality, and modern platform transformation
Focus
AI, Automation, and Production Engineering
Deepak Kamboj
Founder and Lead Instructor
Deepak Kamboj is an AI and quality engineering mentor who helps teams move from tutorial-level learning to production-ready implementation. His teaching style combines architecture clarity, real delivery constraints, and execution patterns that engineers can apply immediately.
- Founder of DevBuild Studio with hands-on focus on modern engineering skills
- Mentors engineers across Playwright automation, agentic AI, and production architecture
- Known for practical frameworks, implementation checklists, and career-focused coaching
Where our learners and teams operate
LangGraph
AutoGen
CrewAI
MCP
Docker
LangSmith
Weights & Biases
Node.js
Learner outcomes
"The MCP module gave us a clean way to expose internal tools to agents without one-off glue code."
"The planning and recovery patterns made our autonomous workflows dramatically more reliable."
"Week 6 safety drills were exactly what we needed before moving our agent to customer-facing pilots."
Frequently asked questions
Should I complete Course 1 first?Open
Yes, or have equivalent experience with RAG, embeddings, and LLM APIs.
Will we cover multi-agent orchestration deeply?Open
Yes. It is a core module with implementation and architecture review deliverables.
Is this vendor-specific?Open
No. You learn portable design patterns and compare tools/frameworks pragmatically.
Final call
Build the skillset teams are prioritizing right now
Reserve your spot and receive your onboarding details, prep material, and implementation roadmap.