AI-Assisted Coding | Session 6: Agentic Coding, Quality & Ops

AI-Assisted Coding | Session 6: Agentic Coding, Quality & Ops

We offer 50% discount to students, please complete this form to avail discount.

This session focuses on agentic coding workflows, with emphasis on software quality, operational considerations and maintaining appropriate engineering controls when working with AI agents.

This session is part of a 7-session professional training programme:

• 2 November 2026 – LLMs, Prompt Eng & Safe Code Gen
• 3 November 2026 – AI-Assisted Software Dev Workflow
• 4 November 2026 – RAG for Codebases
• 5 November 2026 – Model Context Protocol (MCP)
• 9 November 2026 – AI Agents & Tool Calling
• 10 November 2026 – Agentic Coding, Quality & Ops
• 11 November 2026 – Capstone Project & Verification

REGISTRATION FOR ALL 7 SESSIONS IS £372 ONLY.

This session focuses on applying agentic AI approaches to software development while maintaining quality, reliability and appropriate operational controls throughout the development workflow.

What You Will Learn

• Fundamentals of agentic coding workflows
• Applying AI agents to software development tasks
• Designing controlled agentic development workflows
• Managing multi-step coding tasks
• Quality considerations for AI-assisted development
• Reviewing and validating agent-generated code
• Operational considerations for agentic workflows
• Maintaining developer oversight and engineering control

Why This Matters

Agentic coding can automate increasingly complex development tasks, but greater autonomy also introduces additional requirements for quality, review and operational control.

This session provides practical guidance on using agentic coding approaches while maintaining reliable engineering practices.

Ideal For

• Software developers and engineers
• Engineering professionals adopting AI-assisted development
• Technical leads and architects
• University students and advanced learners
• Professionals interested in agentic AI and modern development workflows

Training Format

• 4-hour live training session
• 6:00 PM – 10:00 PM IST
• Practical examples and structured learning
• Part of a 7-session professional training programme