GenAI responds to prompts. Agentic AI takes action.
Build Autonomous AI Agents That Work
A four-level structured pathway — from no-code AI agent building to enterprise-grade multi-agent architectures. Choose your level and build agents that take action, not just answer questions.
✓ 4 progressive levels✓ Practitioner to Enterprise Leader✓ Real-world capstone projects
4
Levels
86+
Hours
7+
AI Tools
100%
Hands-On
Who Should Attend
Choose Your Entry Level
Each level is designed for a different role and experience.
Enter at the level that fits you.
L1 · Practitioner
🏢
Managers & Business Owners
Entrepreneurs, sales & ops teams. No coding required.
L2 · Developer
💻
Developers & Analysts
IT professionals. Python knowledge required.
L3 · Specialist
🤖
AI Developers & Architects
Automation engineers building enterprise pipelines.
L4 · Leader
🎯
CIOs, CTOs & DX Leaders
Enterprise strategy. No coding required.
Full Curriculum
Four Levels — Practitioner to Enterprise Leader
Click each level to explore module outline, objectives, and topics covered.
Best for: Managers, entrepreneurs, sales & ops teams — AI agent foundations & no-code automation · Prompt orchestration · Real business applications. No coding required.
Module 1
AI Agent Foundations & Overview
- →What is Agentic AI? How it differs from chatbots
- →How AI agents perceive, plan, act, and remember
- →Single-agent vs multi-agent systems
- →Live demo of agents completing real business tasks
Module 2
No-Code Agent Building & Automation
- →Build agents using suitable no-code platforms — hands-on
- →Prompt orchestration: instructions that guide agent behaviour
- →Connect agents to web tools, documents, and data
- →Agent testing, guardrails, and quality control
Platforms: Current best-in-class no-code AI agent platforms selected by Ambeone
Module 3 + Capstone
Real Business Applications & Capstone
- →Agents for: customer support, sales, HR recruitment
- →Agents for research, content, and report writing
- →Capstone: build & deploy a no-code agent for your business
- →Present your agent — group feedback session
Pre-requisite: Python programming knowledge required. A short Python for AI Agents introductory course is available — enquire when booking.
Best for: Developers, data analysts, IT professionals — tool use & function calling · RAG · LangChain & LangGraph
Module 1
Tool Use & Function Calling
- →Calling LLM APIs in Python (OpenAI, Claude, Gemini)
- →Defining and registering tools for AI agents
- →Web search, code execution, and file access tools
- →Chaining tool calls in a working agent loop
Module 2
RAG — Retrieval Augmented Generation
- →Build a vector database from real company documents
- →Embedding models and semantic search
- →Connect a RAG knowledge base to an AI agent — live build
- →Evaluating RAG accuracy and relevance
Module 3 + Capstone
LangChain, LangGraph & Capstone
- →LangChain agent patterns: ReAct and Plan-and-Execute
- →LangGraph for stateful multi-step agent workflows
- →Conversational and episodic memory systems
- →Capstone: custom agent with tools, memory, and RAG
Best for: AI developers, automation engineers, architects — multi-agent systems & orchestration · CrewAI & AutoGen · Enterprise workflow automation
Module 1
Multi-Agent Systems & Orchestration
- →Orchestrator and sub-agent design patterns
- →Agent communication, shared memory, state management
- →Task decomposition and delegation logic
- →Error handling, retries, and human-in-the-loop gates
Module 2
CrewAI & AutoGen — Agent Team Frameworks
- →CrewAI: role-based agent crews with tasks and workflows
- →Build a research crew: researcher, analyst, and writer
- →AutoGen: conversational multi-agent group chats
- →Deploy a marketing content production pipeline
Module 3 + Capstone
Enterprise Workflow Automation & Capstone
- →Integrating agents with CRM, ERP, and databases
- →Observability, monitoring, and debugging pipelines
- →Security, PII handling, and compliance
- →Capstone: build a complete enterprise multi-agent pipeline
Best for: CIOs, CTOs, enterprise architects, DX leaders — enterprise AI strategy & governance · Business Decision Intelligence · Bayesian thinking, Risk & ROI. No coding.
Module 1
Enterprise AI Strategy & Governance
- →Building an organisational Agentic AI roadmap
- →AI governance frameworks and policy design
- →Risk assessment: hallucination, bias, data exposure
- →Regulatory compliance: GDPR, UAE AI Ethics
Module 2
Business Decision Intelligence
- →Bayesian thinking and probabilistic decision-making
- →Measuring ROI of Agentic AI implementations
- →Risk modelling and scenario planning
- →Building the business case for Agentic AI investment
Module 3 + Capstone
Scaling AI & Enterprise Blueprint Capstone
- →Change management for AI adoption at enterprise scale
- →Building AI-ready teams and upskilling strategies
- →Case studies: enterprise Agentic AI in UAE and globally
- →Capstone: 12-month Enterprise AI Blueprint — panel presentation
More Courses in This Track
Also Available in Agentic AI
Industry Wise Bootcamps and and short programmes — including Python
🐍
Python for AI Agents
Short introductory Python course for non-developers preparing for Level 2.
Ready to Build the Next Generation of AI Systems?
Become an Agentic AI Practitioner, Developer, Specialist, or Enterprise Leader. In-person in Dubai.
KHDA Approved · JLT Dubai · Expert Faculty IIM MBAs & PhDs · Google 4.6★