IdeaWeaver AI Labs | Generative AI Courses for DevOps & Software Engineers

Programs & Courses

Learn Generative AI by Building Real Systems

Every program is cohort-based, hands-on, and designed for engineers who want to go beyond tools and understand how AI systems actually work.

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Enrolling Now · Jul 2026

GenAI for DevOps Engineers

A 4-week, instructor-led program for DevOps, Platform, and SRE engineers. Integrate Generative AI into your daily workflows — from AWS Bedrock and Kubernetes operations to building autonomous DevOps agents and fine-tuning LLMs. Hands-on labs via Google Colab.

AWS BedrockKubernetes AIDevOps AgentsCrewAIMCPRAGFine-TuningGoogle Colab Labs

Week 1

Foundations of Generative AI

Introduction to Generative AI
Understanding GPUs and AI Infrastructure
AI Inference Fundamentals
Running and Evaluating Large Language Models

Week 2

AI in Cloud and Kubernetes

AWS Bedrock Fundamentals
Building AWS DevOps Agents
AI-Powered Kubernetes Operations
Real-world DevOps Use Cases

Week 3

Building DevOps AI Agents

Designing AI Agents for DevOps Workflows
GitHub Pull Request Review Automation
AI-Powered Performance Troubleshooting
Multi-Agent Systems with CrewAI

Week 4

Advanced DevOps AI

Model Context Protocol (MCP) for DevOps
Retrieval-Augmented Generation (RAG)
Fine-Tuning LLMs for DevOps Use Cases
Building Production-Ready AI Solutions

🌅Weekday Morning

Jul 6 – Jul 29

7:00 – 8:00am PST

Enroll — Weekday Morning →

🌙Weekday Evening

Jul 6 – Jul 29

7:00 – 8:00pm PST

Enroll — Weekday Evening →

🌄Weekend Morning

Jul 4 – Jul 26

7:00 – 8:30am PST

Enroll — Weekend Morning →

🌇Weekend Evening

Jul 3 – Jul 26

7:00 – 8:30pm PST

Enroll — Weekend Evening →

All timings in PST — please adjust for your timezone.

🇮🇳Special Payment Option for India

₹4,500/cohort

You can pay using the Paytm / UPI QR code. Scan with any UPI app — Paytm, PhonePe, Google Pay, or BHIM.

After payment, please email your transaction ID and registered email address to:

help@ideaweaver.ai

We will confirm your enrollment and add you to the batch within 24 hours of receiving your email.

Our Approach

Most AI courses focus on tools and prompts. We focus on systems.

IdeaWeaver AI Labs is a hands-on learning platform built for Software Engineers and DevOps Engineers who want to transition into Generative AI by understanding how real systems work.

Here, you learn how Generative AI actually works — how models are trained, evaluated, and used in real-world systems. We start from first principles and don’t assume prior GenAI or ML knowledge. A working knowledge of Python is the only prerequisite.

You’ll work on real-world patterns and get hands-on access to real GPU resources. Built by engineers, for engineers.

Explore Programs

🏗️

Learn by Building

Weekly live classes and hands-on exercises focused on real-world Generative AI systems — not slides, not theory dumps.

⚡

Real GPU Access

Train, fine-tune, build, and evaluate models using real GPU resources — not simulated environments or toy datasets.

🧠

From Basics to Models

Start from first principles and progress all the way to building and understanding small language models from scratch.

👥

Cohort-Based Learning

Learn alongside other engineers at the same stage. Live sessions, shared exercises, and a community that moves together.

LangChain & Prompt Engineering

Hugging Face & Model Hubs

Retrieval-Augmented Generation (RAG)

Fine-Tuning & Model Evaluation

AI Agents (CrewAI, LangGraph, n8n)

Ollama & vLLM (Local Inference)

Tokenization & Positional Encoding

Attention Mechanisms & KV Cache

Building Small Language Models

PyTorch & Neural Networks

MCP & Quantization

Kubernetes + GenAI Workflows

What You’ll Work On

A complete path from engineer to AI builder

Our programs are cohort-based and focused on learning by building. Instead of relying on prompt-only workflows, students work on practical exercises and mini-projects that reflect how Generative AI systems are designed, trained, evaluated, and deployed in real-world environments.

All programs emphasize practical implementation, clear mental models, and engineering depth. Students also get access to real GPU resources for hands-on experimentation and model training.

See All Programs

Student Feedback

What students are saying

Thank You Prashant for the wonderful course. It was really helpful.

Hari

Thank you so much for this wonderful deep-dive course and looking forward for RAG deep-dive session too.

Karthik

Thanks Prashant Sir, The way you explained concepts and supported us throughout the batch helped build both our understanding and confidence. 🙏

Gourav

It was an incredible journey @IdeaWeaver Support — You have helped learn the basics and given the opportunity to expand our horizons. Your teaching methodology has the power to take your audience to another world. It was a great learning experience. Thank you!!

Kamal

Thanks Prashant — I didn't even realize our batch was over (I came Sat morning as usual to join in and then realized 😅). Indeed all the classes were very good — your deep knowledge in each aspect (and humility to not 'hallucinate' when you didn't know something 😅) was appreciated.

Taher

I think you did a fantastic job and I learned some important things.

Anonymous

Your Instructor

Hi, I’m Prashant

Prashant Lakhera

Founder, IdeaWeaver AI Labs

With 20+ years of experience across Software Engineering, DevOps, Cloud, Kubernetes, and Large-Scale Distributed Systems. Over the years, I’ve worked on systems used by millions of users, built and operated production-grade cloud platforms, and helped teams debug, scale, and secure complex infrastructure.

More recently, my focus has been on Generative AI — specifically how LLMs actually work under the hood and how to build reliable, real-world GenAI systems. I’m the author of multiple technical books, a CNCF Kubestronaut, RHCA, and an AWS Community Builder.

I created IdeaWeaver AI Labs to help engineers transition into Generative AI the right way — by building systems, understanding fundamentals, and learning through hands-on work, not hype.

CNCF KubestronautRHCAAWS Community BuilderPublished Author20+ Years Engineering

Community & Content

Learn beyond the classroom

▶️

YouTube Channel

9.5K Subscribers

Free tutorials on DevOps, Kubernetes, Cloud, and Generative AI. Hundreds of videos for engineers at every level.

Visit Channel →

✍️

Medium Blog

6.5K Followers

In-depth technical articles on Generative AI, DevOps, Kubernetes, and cloud engineering. Written for practitioners.

Read on Medium →

FAQ

Frequently Asked Questions

No. We start from first principles. A working knowledge of Python is the only prerequisite. All programs are designed for Software and DevOps Engineers making the transition.

You learn alongside a group of engineers at the same stage. Sessions are live and instructor-led, typically running 3 days a week. Recordings are available for enrolled students.

Yes. All programs that require GPU compute — fine-tuning, model training, and evaluation — include access to real GPU resources, not simulated environments.

The 1-month programs (GenAI for DevOps, AI Agents, SLM) focus on a single domain. The 4-month program is a full-stack GenAI curriculum covering everything from LangChain and RAG to model internals and building small language models from scratch.

At this time we do not offer refunds. If you have questions about a program before enrolling, reach out directly.

From Engineer to AI Builder