AI Engineering Bootcamp
Become an AI Engineer in 30 Days through our intensive bootcamp tailored for working professionals
This 4-week program blends lectures, hands-on labs, and expert mentorship to teach you how to build real-world AI applications. You'll learn core skills in generative AI, LLMs, and AI Agents – from using large language model APIs to craft effective prompts, utilizing various AI frameworks and deploying AI services. By bootcamp's end, you'll be ready to tackle AI projects and improve your career outcomes.
This bootcamp is physically based in Singapore. Next cohort starts September 30th 2025
Curriculum & Key Topics
Our curriculum covers the most in-demand AI engineering topics, combining theory with practical projects and industry tools
Week 1
Foundation & Prompting
Python for AI Development
Strengthen your Python programming fundamentals with AI-focused projects. Write Python scripts that interact with LLMs, automate tasks, and analyze data. Projects include an AI-powered recipe generator or travel-planner.
Prompt & Context Engineering
Master prompt design by including clear instructions, context, and output formats. Study elements like Instruction, Context, and Examples in prompts.
Week 2
Embeddings & RAG
Embeddings & Vector Databases
Learn how to convert text into embeddings and store them in vector databases (like Pinecone or Supabase) for semantic search. Implement similarity search and build an AI-powered chatbot.
RAG (Retrieval Augmented Generation)
Combine the power of LLMs with custom data sources. Integrate embeddings and vector databases to build RAG-powered chatbots that provide accurate, context-aware responses.
Week 3
DevTools & Frameworks
DevTools
Master essential tools for building robust AI applications. Learn to integrate Web Search APIs (like Exa), code execution platforms (such as E2B), and services for model finetuning (like Replicate).
AI Frameworks
Explore frameworks like LangChain, LlamaIndex, CrewAI, AutoGen2, Haystack, OpenAI Agent SDK, and MCP for building complex LLM-powered solutions and agentic workflows.
Week 4
AI Agents & Deployment
AI Agents
Deep dive into building intelligent agents that perform tasks by combining LLMs with external tools. Topics include multi-step "chain of thought" agents and multi-agent systems using Langchain and Langgraph.
Deploy AI Services
Learn Hugging Face's ecosystem, model versioning and serving. Integrate LLMs into applications using OpenAI APIs, image/video generation models, and run end-to-end LLM evaluations.
Schedule & Format
Designed for busy professionals with a blended learning approach
Duration
30 days (4 weeks) of focused learning, designed to maximize your progress in a short time.
In-Person Sessions
4 weekly sessions (2 hours each), featuring lectures and live demos on key AI topics.
Office Hours
4 online office-hour sessions (1.5 hours each), scheduled between classes for extra help and Q&A.
Support
Access a private community chat group, with teaching assistants and peers available to answer questions.
Projects
Build a cornerstone project (chatbot, recommendation system, or generative app) to showcase your skills.
Perfect for Busy Professionals
One in-person class per week, flexible online support, beginner-friendly, and basic Python knowledge required.
Who Should Join
This bootcamp is ideal for working professionals and developers who want to transition into AI roles or add AI capabilities to their skill set. You might be a software engineer, data analyst, or entrepreneur looking to leverage AI in your products.
Whether you're new to AI or have some ML background, our detailed, example-driven approach will help you learn. Students have praised similar programs for being "engaging and career-focused" – by the end, you'll have concrete skills and project experience to share with employers.
Software Engineers
Add AI capabilities to your applications
Data Analysts
Transition into AI engineering roles
Entrepreneurs
Leverage AI in your products and services
Instructor
AI Startups CTO
AI Startups CTO with 10+ years of software engineering experience. He specializes in building robust, scalable AI-driven systems. Gokula is known for clear teaching and hands-on mentorship.
"Our goal is to give you the practical skills and confidence to land an AI engineering role. We'll guide you through every step – from understanding AI fundamentals to deploying your own AI service."
— Gokula Krishna
Testimonials
What past learners say about our teaching style and outcomes
"There were a lot of skills and information touched on that I'd love to expand on. I liked the quizzes to check for understanding between the sections and overall loved that it was a comprehensive course that took you from Python Basics all the way to LangChain, building AI Agents etc."
"The pacing was perfect and very hands-on. The labs and office hours kept me accountable. By week two I shipped a working RAG chatbot, and by week four an agent that automates our weekly report. Easily the most practical course I've taken."
"Coming from product, the Python refreshers and step-by-step templates got me productive fast. I can now scope AI features with confidence and prototype with LangChain and OpenAI. The career guidance and code reviews were a bonus."
Fees & Registration
Early Bird
SGD - Limited time offer
Early bird ends on September 10th 2025.
Standard
SGD - Regular pricing
This covers all sessions, course materials, and support.
Ready to transform your career?
Join the AI revolution and build your future as an AI engineer! 🚀
This bootcamp is physically based in Singapore. Next cohort starts September 30th 2025
If you have any questions, don't hesitate to contact us at team@theaibuilders.dev
In-Person Class Dates (7-10pm): Sep 30, Oct 7, Oct 14, Oct 21