Applied Agentic AI
Developing & deploying AI agents — a comprehensive hands-on professional course for building production-ready AI agent systems. Leave with 3 portfolio-ready projects that prove your skills to employers.
Who is This Course For?
Software Developers
Build production-ready AI agents using modern frameworks like LangChain, LangGraph and CrewAI.
ML Engineers
Expand your skillset to design, deploy and monitor autonomous AI systems at scale.
Product Managers
Understand the technical foundations of agentic AI to guide product development effectively.
IT & Technical Professionals
Learn to integrate AI agents with external tools, APIs and databases for enterprise solutions.
Overview
This intensive, hands-on professional course is designed for anyone who wants to build production-ready AI agents. From foundational concepts to advanced multi-agent systems and cloud deployment, you'll gain practical skills that translate directly to real-world applications.
Each session combines theory with extensive hands-on labs, culminating in three capstone projects that demonstrate your ability to architect, implement and deploy sophisticated AI agent systems with proper error handling, monitoring and safety measures.
Duration
3 Sections
Intensive learning
Format
Hybrid Learning
In-person & online options
Investment
US$3,800
All materials included
Certificate
Professional
Industry-recognised
What You'll Learn
Design and architect AI agent systems from scratch
Implement agents using modern frameworks (LangChain, LangGraph, CrewAI)
Deploy production-ready agents with proper error handling and monitoring
Build multi-agent systems for complex workflows
Integrate agents with external tools, APIs and databases
Implement security, safety and cost optimisation strategies
Course Curriculum
A comprehensive, hands-on curriculum structured across three intensive sections, each culminating in a capstone project.
Topics Covered:
- Lab 1A: First Agent — environment setup, API connections and prompt engineering
- Lab 1B: Tools & APIs — custom tools, API integrations and a tool registry
- Lab 1C: LangChain & LangGraph — stateful agents and visual workflows
- Lab 1D: Memory Systems — vector databases (Pinecone, ChromaDB) and retrieval
- Capstone 1: Personal AI Research Assistant
Build Your Professional Portfolio
Each section culminates in a comprehensive capstone project. These aren't just exercises — they're production-ready applications you can showcase to employers, clients or your team.
Personal AI Research Assistant
Build an intelligent research assistant that autonomously searches multiple data sources, synthesises complex information, maintains conversation context and provides properly cited summaries.
Demonstrate autonomous research capabilities to potential employers.
Multi-Agent Business Analyst System
Architect a sophisticated system with specialised agents working together: a coordinator, research, analysis and report generation agent — all with built-in safety validation.
Prove your ability to build complex, multi-agent enterprise solutions.
Production Customer Support Agent
Deploy a complete, production-ready customer support system with RAG-powered knowledge retrieval, ticket integration, intelligent human escalation, authenticated APIs and real-time monitoring.
Demonstrate full-stack AI agent deployment skills.
Tools & Skills You'll Master
Python
LangChain
LangGraph
CrewAI
AutoGen
OpenAI
Anthropic
Pinecone
ChromaDB
FastAPI
Docker
AWS
GCP
Azure
LangSmith
n8n
Career Opportunities
The demand for Agentic AI specialists is exploding. Companies across all industries are seeking professionals who can build and deploy autonomous AI systems. Complete this course to unlock these high-demand roles:
Agentic AI Engineer
AI Solutions Architect
AI Platform Engineer
ML Ops Engineer
AI Product Manager
AI Consultant / Strategist
Automation Engineer
AI Integration Specialist
85%
of employers prioritise hiring AI talent
$150K+
Average salary for AI Engineers
Prerequisites
This is an applied, hands-on course. The following will help you get the most from the programme:
Basic Python programming
Basic understanding of LLMs (helpful but not required)
Familiarity with APIs and web services
Curiosity and willingness to build hands-on projects
Ready to Build Production-Ready AI Agents?
Join our next cohort and master the skills to design, build and deploy AI agents that solve real business problems. Limited seats available — secure your spot today.
support@bewithai.academy