🤖 GenAI for Business 3 Levels ⚡ Agentic AI 4 Levels 📊 Data Analytics & ML 4 Levels

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.

💬 WhatsApp to Enrol View Schedule See Curriculum ↓

✓ 4 progressive levels✓ Practitioner to Enterprise Leader✓ Real-world capstone projects

Levels

86+

Hours

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