AI training
Agentic AI Bootcamp: Build Working AI Agents
A six-week, hands-on programme in which you build and deploy seven working AI agents, from research assistants and support bots to data pipelines.
Enquire about this course- Duration
- 6 weeks
- Level
- Beginner to intermediate
- Delivery
- Live online cohort, two sessions a week, with every session recorded for catch-up
- Prerequisites
- No prior coding or AI experience is required. Foundational Python is taught as you go.
- Certificate
- Certificate of completion
- Dates and price
- Contact us for current dates and pricing
What you will build
Seven working AI agents, including research assistants, outreach systems, data pipelines and support bots, finishing with a capstone project.
What is included
- Twice-weekly live sessions, about four to six hours of work a week
- Recordings of every session
- Capstone project review
- Certificate of completion
Course outline
What you will cover
Week 1: Foundations
- What an agent is and how it differs from a chatbot
- Core agent architectures and tool use
- Setting up your development environment
- Building your first working agent
Week 2: Context engineering
- Giving an agent the right information at the right time
- Memory, retrieval and structured output
- Prompts as part of the system design
- Agents 2 and 3: a research assistant and a data helper
Week 3: Multi-agent workflows
- Splitting work between cooperating agents
- Orchestration, hand-offs and shared state
- Comparing LangGraph, CrewAI and AutoGen
- Building a multi-agent workflow
Week 4: Tools and integration
- Model Context Protocol (MCP) and tool servers
- Automation with n8n, Make and Zapier
- Connecting agents to email, calendars and business systems
- An outreach agent and a support bot
Week 5: Reliability
- Debugging from traces
- Guardrails, human approval and failure handling
- Testing and evaluating agent behaviour
- Cost and performance control
Week 6: Deployment and capstone
- Deploying and monitoring agents
- Using AI coding tools to speed up development
- Capstone project
- Review and next steps
Who it is for
- Product managers, analysts and marketers who want to automate work
- Founders and business owners
- Developers and freelancers moving into agentic AI
What you will be able to do
- Design and deploy production-style autonomous agents
- Debug agents by reading traces
- Connect agents to business tools and data
- Make agents reliable enough to depend on
Tools
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