From Java to GenAI in 6 Months: My Step-by-Step Roadmap

Описание: 12 years as a Java backend engineer… and then I pivoted into Generative AI.

In this video, I break down the exact roadmap I used—skills, projects, and strategy—to move from Java to GenAI without quitting my job. If you’re a Java/.NET/UI/Data professional aiming to transition into AI/GenAI, this playbook is for you.

What you’ll learn

The mindset shift: from “frameworks” to “foundations” (math, data, ML)
The shortest path to GenAI skills (Python, NumPy/Pandas, ML basics)
Modern GenAI stack: LLMs, Prompting, RAG, Vector DBs, LangChain, Agents
Portfolio that gets interviews: 3 must-build projects (with impact)
How to leverage your Java experience (microservices, cloud, APIs) in GenAI
Interview prep: roles, questions, and how to tell your transition story

My step-by-step roadmap

Core Python for data + ML basics
LLM essentials: tokens, embeddings, prompting, evaluation
RAG systems: retrieval, chunking, vector stores, evaluators
Agents & orchestration: tools, memory, safety, observability
Cloud & MLOps: AWS/GCP basics, containers, CI/CD for AI apps
Portfolio & personal brand: GitHub, LinkedIn, case studies

Have questions or want guidance on your transition plan?
Write to me: [email protected]