AI Training

AI Coding

AI Coding - Accelerated Development with AI Assistance

Learn to harness AI-powered coding assistants to dramatically improve development speed and code quality across multiple programming languages. This category focuses on practical techniques for AI-assisted code generation, intelligent refactoring, automated documentation, bug detection, and solution architecture. Covers effective prompting strategies for complex coding tasks, integrating AI tools into IDEs and development workflows, and maintaining code ownership while leveraging AI capabilities. Participants gain hands-on experience using AI to write unit tests, implement design patterns, optimize algorithms, and translate between programming languages. Essential skills for developers looking to remain competitive in an AI-augmented development landscape while preserving software craftsmanship principles.

Retrieval Augmented Generation (RAG)

Retrieval Augmented Generation (RAG) is an advanced artificial intelligence technique that enhances the capabilities of generative AI models-like large language models (LLMs)-by allowing them to fetch and incorporate up-to-date, domain-specific, or proprietary information from external data sources in real time.

Revolutionize Your Agile Development with AI-Enhanced Scrum

AI-Enhanced Scrum Course Summary

Overview

AI-Enhanced Scrum is a comprehensive training program that transforms traditional Agile development by integrating Artificial Intelligence throughout the entire software development lifecycle. This course teaches teams how to leverage AI for enhanced productivity, quality, and consistency from initial requirements gathering through final deployment.

What You'll Learn

Students master a complete AI-driven development workflow starting with interactive PRD (Product Requirements Document) creation through intelligent AI questioning, progressing through advanced UI design generation using sophisticated non-traditional prompting techniques, UML visual modeling, and culminating in comprehensive technical specification generation that synthesizes all project artifacts.

The course covers AI-enhanced Acceptance Test Driven Development (ATDD) and Test Driven Development (TDD) practices, showing how well-crafted tests guide AI development agents to optimal solutions. Students learn to maintain living documentation where PRDs, UI designs, UML models, technical specifications, tests, and code remain perfectly synchronized throughout development.

Key Modules

AI-Driven Requirements Gathering: Interactive PRD creation with intelligent AI interviewing
Advanced UI Design Generation: Revolutionary prompting techniques for interface design
Visual Architecture Modeling: UML diagram generation and refinement
Comprehensive Technical Specifications: AI synthesis of all project artifacts into implementation guides
AI-Enhanced Testing: ATDD and TDD practices with AI development agents
Quality Assurance & Defect Resolution: AI-powered debugging and consistency validation
Sprint Management: AI-enhanced planning, tracking, and retrospectives

Target Audience

Perfect for Product Managers, Scrum Masters, UX/UI Designers, Solution Architects, Technical Leads, Development Teams, and Organizations seeking to modernize their Agile practices with AI automation while maintaining high quality and comprehensive documentation.

Instructor Expertise

Led by an industry veteran with decades of software development experience, from early C++ development to cutting-edge AI implementation, with extensive expertise in teaching Scrum, TDD, software design patterns, and system architecture.

Key Benefits

Accelerated Development: Faster feature delivery through AI automation
Enhanced Quality: Comprehensive testing and documentation consistency
Improved Communication: Clear visual models and specifications for all stakeholders
Reduced Technical Debt: AI-maintained synchronization across all project artifacts
Modern Workflow: Integration of latest AI tools with proven Agile methodologies

Course Outcome

Graduates will transfo

RSS