100 Days of DevOps

Course•By IdeaWeaver AI

From Software & DevOps Engineer to Generative AI Engineer – A 4-Month Hands-On Journey

This is a 4-month, cohort-based program designed for Software Engineers and DevOps Engineers, or anyone who wants to transition into Generative AI with a strong engineering foundation. The program runs from January 10 to April 25, 2026, and follows a hands-on, learn-by-building approach. Every week includes practical exercises or mini-projects, where learners implement concepts rather than just studying theory. Participants will get access to real GPU resources to run, fine-tune, evaluate, and train models as part of the hands-on work. The course starts with modern Generative AI tools and frameworks, then moves into core system patterns such as Retrieval-Augmented Generation (RAG), fine-tuning, model evaluation, and AI agents. By the end of the program, learners will be able to build, fine-tune, and reason about Generative AI systems using their existing Software or DevOps engineering skills.

Course•By IdeaWeaver AI

From Software & DevOps Engineer to Generative AI Engineer(Second Cohort):Feb 6 - May 23

📘 What We’ll Cover in the 4-Month Journey We’ll progress step-by-step, exactly as shown in the roadmap: Weeks 1: LangChain(We’ve already covered LangChain, but I’ll be hosting a special session for anyone who missed it.) Weeks 2: Hugging Face Week 3: Prompt & Context Engineering Week 4: Ollama & vLLM Week 5: Retrieval-Augmented Generation (RAG) Week 6: Fine-Tuning Week 7: Model Evaluation Week 8: MCP & Quantization Week 9: AI Agents Week 10: n8n & CrewAI Weeks 11–12: LlamaIndex & LangGraph Week 13: PyTorch & Neural Networks Week 14: Tokenization & Positional Encoding Week 15: Attention Mechanisms & KV Cache Week 16: Building a Small Language Model from Scratch Each topic builds on the previous one so by the end, you’re not just using AI tools, you understand how they work under the hood.

Course•By IdeaWeaver AI