AI Engineering Bootcamp starts on September 28
11+ years of experience in AI, cloud, and enterprise systems. Expert in AI agents, LLMOps, multimodal applications, and GPU-optimized AI workflows. Passionate about teaching job-ready AI skills that bridge theory and real-world deployment.
Course Objective
Become an AI Engineer with real, job-ready skills in Python, NLP, LLMs, vector databases, and AI application development. Gain the confidence to build, deploy, and scale AI solutions that employers are looking for.
Master tools like OpenAI, LangChain, Pinecone, and Streamlit while working on projects that showcase your abilities. Create a portfolio that makes you the candidate companies fight to hire.
AI Engineer roles are exploding in demand, and skilled professionals are scarce. Join this bootcamp to get ahead of the crowd and seize opportunities others will miss.
Seats are limited—don’t fall behind. With hands-on projects, real workflows, and live mentorship, you’ll be ready to step into high-impact AI roles faster than anyone else.
Course Pricing & Details
AI Engineering Bootcamp
Complete 45-day program with live mentorship
Use code: VYBE to get ₹7,000 off

We have partnered with Instruc IQ to provide internships for everyone who joins the VybeSchool AI Engineering Bootcamp.
🎯 Limited Time Offer: Get expert AI engineering skills at 95% less than industry rates!
Why VybeSchool Bootcamp?
- Structured, end-to-end AI curriculum for practical learning
- Focus on job-ready skills and employable projects
- Real-world use cases integrated with industry tools
- Live mentorship, guidance, and collaborative learning
- Hands-on capstone projects simulating professional AI workflows
- Understand AI and its current relevance
- Explore structured vs. unstructured data
- Introduction to Machine Learning (Supervised & Unsupervised)
- Generative AI: concepts and deployment challenges
- Overview of the AI tech stack
- Explore AI career paths: LLM Engineer, GenAI Engineer, AI Developer
Capstone Projects
- AI-Powered Brochure Generator: Scrape websites + summarize content + generate intelligent business brochures
- Multimodal Customer Support Agent: Build a bot for text + voice inputs with function-calling and a working UI
- Meeting Minute Summarizer: Transcribe audio into structured meeting notes using multiple LLMs
- RAG-Based Knowledge Worker: Create a document-based chatbot to answer complex internal company questions