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100 Days of DevOps

Course•By IdeaWeaver AI

30 Days of AI Agents - Evening Batch

30 Days of AI Agents is a hands-on program designed to help learners understand, build, and evaluate modern AI agents using popular open-source frameworks. This course focuses on practical agent development rather than theory. You will learn how AI agents plan tasks, use tools, collaborate with other agents, and execute multi-step workflows. Over four weeks, you will build AI agents using n8n, CrewAI, LlamaIndex, LangGraph, and SmolAgents. The program also covers agent evaluation, helping you understand reliability, performance, and failure patterns. The course runs as live instructor-led sessions with hands-on exercises. By the end of the program, you will be confident in building and evaluating AI agents for real-world use cases.

Course•By IdeaWeaver AI

30 Days of AI Agents - Morning Batch

30 Days of AI Agents is a hands-on program designed to help learners understand, build, and evaluate modern AI agents using popular open-source frameworks. This course focuses on practical agent development rather than theory. You will learn how AI agents plan tasks, use tools, collaborate with other agents, and execute multi-step workflows. Over four weeks, you will build AI agents using n8n, CrewAI, LlamaIndex, LangGraph, and SmolAgents. The program also covers agent evaluation, helping you understand reliability, performance, and failure patterns. The course runs as live instructor-led sessions with hands-on exercises. By the end of the program, you will be confident in building and evaluating AI agents for real-world use cases.

Course•By IdeaWeaver AI

Building Small Language Model from Scratch(Weekday - Evening Batch)

Hands-on course: build your first small language model in 30 days. Four weeks cover PyTorch, tokenizers, attention and KV cache, then building and training an SLM from scratch. Labs included; separate GPU needed to train/run a full LLM. $49.

Course•By IdeaWeaver AI

Building Small Language Model from Scratch(Weekend - Evening Batch)

Hands-on course: build your first small language model in 30 days. Four weeks cover PyTorch, tokenizers, attention and KV cache, then building and training an SLM from scratch. Labs included; separate GPU needed to train/run a full LLM. $49.

Course•By IdeaWeaver AI

(Building Small Language Model from Scratch(Weekend - Morning Batch)

Hands-on course: build your first small language model in 30 days. Four weeks cover PyTorch, tokenizers, attention and KV cache, then building and training an SLM from scratch. Labs included; separate GPU needed to train/run a full LLM. $49.

Course•By IdeaWeaver AI

Building Small Language Model from Scratch(Workshop - Evening Batch)

Here's what you'll learn in 2 days: * PyTorch fundamentals: tensors, autograd, training loops * Tokenization & Positional Encoding * Attention Mechanisms & KV Cache * Build a Small Language Model end-to-end, based on Gemma 4 architecture 100% hands-on. No boring theory.

Course•By IdeaWeaver AI

Building Small Language Model from Scratch(Workshop - Morning Batch)

Here's what you'll learn in 2 days: * PyTorch fundamentals: tensors, autograd, training loops * Tokenization & Positional Encoding * Attention Mechanisms & KV Cache * Build a Small Language Model end-to-end, based on Gemma 4 architecture 100% hands-on. No boring theory.

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

GenAI beyond the basics - Weekend evening batch

This course is designed for engineers who want to go beyond basic Generative AI and learn how real-world AI systems are built and optimized. Instead of focusing on prompts, we take a hands-on, system-level approach. You will learn: • Model Context Protocol (MCP) and how AI interacts with tools • Retrieval-Augmented Generation (RAG) with better chunking and retrieval strategies • Supervised Fine-Tuning for domain-specific improvements • GPU Inference, including KV cache, latency, and cost optimization • Model Evaluation using quality, cost, and latency By the end, you will understand how to design and build production-ready GenAI systems, not just use them.

Course•By IdeaWeaver AI

GenAI for DevOps Engineers – Evening Batch (PST)

GenAI for DevOps Engineers is a one-month, hands-on program designed for DevOps, Platform, and SRE engineers who want to understand how Generative AI fits into real DevOps workflows. The course focuses on practical usage rather than theory. You will learn how modern language models work, how to use them for operational use cases, and how to run them locally and in production environments. The curriculum includes tools such as LangChain, Hugging Face, Ollama, vLLM, n8n, CrewAI, and Retrieval-Augmented Generation, with applications in debugging, automation, code review, and Kubernetes troubleshooting. The program runs with live instructor-led sessions three days a week. Hands-on labs are included, and recordings are available for enrolled students. By the end of the course, you will be able to apply GenAI with a production and reliability mindset.

Course•By IdeaWeaver AI

GenAI for DevOps Engineers – Morning Batch (PST)

GenAI for DevOps Engineers is a one-month, hands-on program designed for DevOps, Platform, and SRE engineers who want to understand how Generative AI fits into real DevOps workflows. The course focuses on practical usage rather than theory. You will learn how modern language models work, how to use them for operational use cases, and how to run them locally and in production environments. The curriculum includes tools such as LangChain, Hugging Face, Ollama, vLLM, n8n, CrewAI, and Retrieval-Augmented Generation, with applications in debugging, automation, code review, and Kubernetes troubleshooting. The program runs with live instructor-led sessions three days a week. Hands-on labs are included, and recordings are available for enrolled students. By the end of the course, you will be able to apply GenAI with a production and reliability mindset.

Course•By IdeaWeaver AI