About TechEazy Consulting

TechEazy Consulting started two years ago helping people get into engineering roles — first through Java, Spring Boot, and cloud fundamentals. What people who came through the program went on to do is on our outcomes page, which says plainly what we publish and what we do not.

This relaunch isn't a pivot away from that history — it's a rebuild around where the demand actually is now. AI/ML is reshaping almost every engineering role, and the curriculum has moved with it: applied AI/ML systems, MLOps, and agentic engineering sit alongside the production-engineering foundations that got people hired before.

The rebuild changed the order things are taught in, not just the topic list. AI fluency comes first — AI-assisted coding, Python for AI/ML, LLMs and RAG — and cloud, architecture and production engineering are layered on top of that fluency. That is deliberately the inverse of the conventional order, where AI arrives as a final module after two terms of everything else.

You are judged here on what you build. The guide ends in portfolio projects in Python, LLMs and RAG that you can show in an interview. The mentor-led courses end in a deployed, AI-enabled production feature built with agentic tools, or an architected AI system with defensible decisions on data, identity, cost and resilience.

The mission is simple: give freshers and college students a genuine public on-ramp into AI/ML, and give experienced professionals a credible, mentor-led path to pivot into it — backed by outcomes we can actually stand behind, not marketing percentages.