Training Catalogue
Explore hands-on workshops and team enablement programs across AI systems, automation, Next.js, Python, LangGraph, and practical delivery.
AI Automation Fundamentals
A practical introduction to AI automation, workflow thinking, and how to identify real automation opportunities.
- Automation opportunity mapping
- Workflow design basics
- Tooling and orchestration
LangGraph for Workflow Orchestration
Learn how to build multi-step, reliable AI workflows using LangGraph for production-ready orchestration.
- Stateful workflow design
- Graph-based orchestration
- Retries and control flow
Python for AI Systems
Strengthen the Python skills and implementation patterns needed to build maintainable AI-powered systems.
- Python project structure
- LLM integration patterns
- Data handling basics
Next.js for Product Teams
Learn how product teams can use Next.js to build fast, scalable web applications with better structure and delivery velocity.
- App Router concepts
- Component architecture
- Server and client boundaries
Production AI Patterns
Move beyond demos and learn the patterns that make AI systems reliable, observable, and production-ready.
- System reliability patterns
- Fallback and retry design
- Operational visibility
Building Internal Tools with Next.js
Learn how to plan and build modern internal tools that improve workflows, visibility, and operational efficiency.
- Internal tool planning
- Data and dashboard design
- Authentication basics
Modern API Design for Product Teams
Understand the principles behind clean API design, integration thinking, and maintainable backend systems.
- Resource modeling
- API consistency
- Versioning strategy
Agentic Workflow Design
Learn how to design agentic systems that are practical, controlled, and aligned to real workflow needs.
- Agent vs workflow thinking
- Task decomposition
- Tool calling patterns
AI Evaluation and Guardrails
Learn how to evaluate AI systems, measure quality, and design practical guardrails for production use.
- Evaluation basics
- Quality measurement
- Failure case analysis
Enterprise AI Adoption
Help leadership and delivery teams understand how to adopt AI in a practical, structured, and sustainable way.
- Adoption planning
- Use-case prioritization
- Team enablement