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
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.
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Full Curriculum
Four Levels — Practitioner to Enterprise Leader
Click each level to explore module outline, objectives, and topics covered.
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
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
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
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
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
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★
Frequently asked questions
Organisations are moving from AI that only answers questions to AI that can carry out tasks on its own, such as processing documents, handling customer requests and running complete workflows. With the UAE’s National Strategy for Artificial Intelligence 2031 driving adoption across government and business, professionals who know how to design, use and manage these AI systems are increasingly sought after.
Our Agentic AI track has four levels. Start with Agentic AI Practitioner (16 hours), which uses no-code automation and suits managers and business professionals. Agentic AI Developer (24 hours) and Multi-Agent Automation Specialist (30 hours) need Python, which you can learn with us first. Enterprise Agentic AI Leader (24 hours) covers strategy and governance for senior leaders.
In two ways. Long-term courses run in person, mostly on weekends at our Dubai centre, in small batches of 6 to 7, with one 3 to 4 hour session per week so you can learn alongside your job. Intensive industry bootcamps cover agentic AI for a specific sector, such as BFSI or Government Services, in a few focused days, often at 4- and 5-star hotels. One-on-one coaching is available for executives, and blended options in special cases. See dates on the course schedule.
Yes. Individuals can join our public batches, and companies can book a customised programme for their teams, built around their industry, data and goals. We deliver it at your offices, at our Dubai centre or at a hotel venue of your choice. Call +971 4 442 5320 or contact us for a programme structure.
Every participant receives an Ambeone certificate on completion, verifiable by employers and shareable on LinkedIn, with KHDA-attested certificates available for eligible courses. Ambeone has been KHDA-approved since 2014 and has won multiple awards for AI and data science training.
Hear from our alumni: see how Ambeone’s courses have helped them in their own words in our video and written testimonials.
More answers about Ambeone, our faculty, fees and formats are on our main FAQ page.