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Official Curriculum Brochure
A practical program equipping IT and Engineering professionals with AI capabilities to improve software development, automate engineering workflows, enhance IT operations, strengthen cybersecurity and make data-driven technical decisions. It spans software engineering, DevOps, cloud, testing, IT support and analytics.
Every module combines concept clarity, live demonstration, structured hands-on practice, and role output.
AI, Generative AI, AI agents and how AI is transforming software engineering, DevOps and IT operations.
Technical prompting for code generation, debugging, architecture and documentation.
Responsible AI, secure AI adoption, data privacy, IP and enterprise governance.
AI coding assistants, code generation, debugging, code reviews, documentation, API and architecture design.
Infrastructure-as-Code, CI/CD, cloud optimization, monitoring, incident prediction and capacity planning.
Test case generation, regression, API testing, defect analysis and test automation.
AI-powered service desks, knowledge assistants, incident resolution, ticket automation and troubleshooting.
Threat detection, vulnerability analysis, security monitoring, incident response and cyber risk management.
AI-powered dashboards, engineering performance, system reliability and predictive analytics.
AI roadmap, governance, engineering best practices and change; Engineering Transformation Framework.
Discuss schedule, participant capacity, or enterprise dataset customizations with our learning architects.