AIGENSA Academy

Professional AI development training. Evidence-based curricula, measurable outcomes, production-ready skills.

Applying AI in the SDLC

Active

A comprehensive, evidence-based curriculum that teaches you how to apply AI throughout the software development lifecycle. From LLM fundamentals to enterprise implementation, learn to leverage AI coding tools like Claude Code, Cursor, and more with structured methodologies and measurable outcomes.

2026-01-17 — 2026-02-28 23/20 enrolled
Fully Booked
2026-04-11 — 2026-04-30 20/20 enrolled
Fully Booked
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Designing AI Applications

Coming Soon

A comprehensive course on designing and building generative AI components, integrating AI capabilities into modern applications, and architecting production-ready AI systems.

Course in development
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What You Will Get

+50% Productivity Gains

Evidence-backed productivity improvements measured across real development teams using AI-assisted workflows.

Evidence-Based Practices

Every technique taught is backed by research from Anthropic, MIT, GitHub, and Cursor. No hype, just proven methods.

Production-Ready Skills

Learn patterns that work in real production environments, not just demos. Build software that ships.

Cost Optimization

Master strategies to reduce AI tool costs by up to 90% with proper implementation and context management.

Team Collaboration

Learn AI-assisted team workflows, code review patterns, and collaboration strategies for development teams.

Security Compliance

Understand security implications of AI tools and implement compliant workflows for enterprise environments.

Tool Mastery

Deep expertise across Cursor, Claude Code, and other AI development tools. Choose the right tool for every task.

Methodology Selection

Learn when to use Vibe Coding, Spec-Driven Development, or BMAD Method based on evidence-driven decision frameworks.

Quality Assurance

72% error reduction with proper AI-assisted development practices. Measurable quality improvements from day one.

Evidence-Based Curriculum

Our course is built on 2025 research from Anthropic, MIT, GitHub, and Cursor. You will learn patterns backed by metrics: +50% productivity gains, 72% error reduction, 90% cost savings with proper implementation. Every claim includes evidence; every concept includes practice.

Ready to Transform Your Development Skills?

Join our professional development programs for AI practitioners.

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Community

Connect with fellow practitioners, share learnings, and grow together. Community features coming soon.

Resources

Guides, research summaries, and tools to support your AI development practice. More resources coming soon.