A practical, instructor-led workshop exploring how AI agents can transform the software development lifecycle — from requirements analysis and code generation to code review, security, testing, and actionable reporting.
AI is moving beyond simple chat and code completion. AI agents can reason through tasks, use tools, collaborate with other agents, analyse code, identify problems and help execute software engineering workflows.
Move beyond simple prompting and explore task-oriented AI agents.
See how specialised agents can collaborate across the software development lifecycle.
Experience how AI can connect requirements, coding, review, security and testing into one workflow.
This is not a slide-heavy seminar. You'll see and work through a practical Agentic AI workflow.
Create and configure AI agents designed for software development tasks.
Understand how specialised agents can collaborate across the SDLC.
Explore how agents can analyse code and surface potential issues.
Use AI-assisted workflows to identify and remediate security vulnerabilities.
Explore how agents can generate and execute functional tests.
See how the workflow can produce useful reports and recommendations.
Analyse the software requirement
Generate implementation with an AI agent
Review generated code intelligently
Identify potential vulnerabilities
Generate and execute functional tests
Produce actionable findings
Agentic workflows should not mean giving AI unrestricted control. Explore how human approval can be introduced at important stages of the software development workflow.
Agentic AI in Software Development
Software Development AI Agents
Multi-Agent Collaboration
Code Review → Security → Testing → Reporting
See how AI agents can work together across the software development lifecycle — in just 4 hours.
This workshop is your introduction to the world of Agentic AI. If you want to go beyond the workshop and build more advanced, production-ready AI agent systems, stay connected for our upcoming comprehensive Agentic AI program.