BootCamp | Learn AI/ML in 45 Days

Launch Your AI Career with a 45-Day AI & Machine Learning Crash Course.

Learn AI through live, hands-on sessions designed for beginners. This AI & Machine Learning Course helps you master Python, LLMs, and RAG while building four portfolio-ready projects for AI internships.

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    A two-minute chat about the cohort, start dates and your seat.

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    45
    Consecutive days
    3hrs
    Live, every evening
    5
    Focused phases
    4
    Deployable projects
    Designed for Beginners

    Everything You Need to Get Started with AI

    From Python for AI and ML to LLM development and deployment, every topic in this AI & Machine Learning course helps you build the foundation for advanced AI concepts.

    What you'll walk away with

    The skills that actually get you an internship interview.

    • Write Python code confidently for AI and machine learning projects.
    • Create AI applications using OpenAI, Claude, and Gemini APIs.
    • Build an AI chatbot that can answer questions from your own documents.
    • Deploy your first AI application and make it ready to use.
    • Graduate with 4 portfolio-ready AI projects that showcase your skills.

    What we intentionally skip

    Not needed for an internship. We cover these in depth in the flagship programs.

    • Deep mathematical proofs and derivations
    • RNN, LSTM, and transformer internals
    • Advanced Machine Learning techniques
    • Deep learning model training from scratch
    • Fine-tuning, AI agents, and MLOps
    • Lengthy capstone projects
    Who It's For

    If You're Ready to Learn AI, You're in the Right Place

    Whether you're aiming for internships, career growth, or simply want to learn AI from scratch, this course gives you a structured path to begin with.

    Students & Interns

    Build real AI projects, strengthen your portfolio, and become internship-ready while you're still studying.

    Working Professionals

    Upskill in AI with live classes and recorded sessions that fit around your work schedule.

    Curious Beginners

    Start your AI journey with a beginner-friendly course designed to help you learn by building.

    The Curriculum

    Your Path from Beginner to AI Builder

    Five modules that take you from Python basics to a real-world capstone.

    01

    Python & Data Foundations

    Learn Python, SQL, data analysis, and the core skills you need for AI.

    02

    Machine Learning Fundamentals

    Build machine learning models using real datasets and practical industry techniques.

    03

    LLMs, RAG & AI Applications

    Create AI applications using LLMs, embeddings, vector databases, and RAG.

    04

    AI Deployment & Portfolio Building

    Deploy AI applications and build a strong portfolio with real-world projects.

    05

    Capstone Project

    Complete a real-world capstone that showcases your practical AI development skills.

    Ready to become an AI builder?

    Lock in your seat for the next cohort and start building.

    Apply Now
    Tools & Technologies

    Learn the AI tools used by top teams

    Learn by using the same tools trusted by AI developers worldwide.

    Python
    NumPy
    Pandas
    SQL / SQLite
    Matplotlib & Seaborn
    scikit-learn
    Anthropic
    Gemini
    FastAPI
    Docker
    HuggingFace Spaces
    Streamlit
    Git & GitHub
    Projects You'll Ship

    Build While You Learn

    Graduate with four hands-on AI projects that showcase your practical experience and portfolio.

    Phase 1

    End-to-End ML Pipeline

    Train, test, and improve a complete machine learning model.

    scikit-learnXGBoostSHAP
    Phase 2

    AI Assistant with LLMs

    Build an AI application powered by today's leading language models.

    LLM APIsPromptingFunction Calling
    Phase 3

    RAG Knowledge Assistant

    Create an AI assistant that searches and answers from your own data.

    ChromaRAGEvaluation
    Phase 4

    Live AI Deployment

    Launch your AI application online for others to use.

    FastAPIDockerLive URL
    Don't Stop at the Basics

    Ready to go deeper into AI engineering?

    Expand your skills with deeper concepts that prepare you for modern AI development. Explore advanced AI frameworks, architectures, and production-ready workflows.

    Pre-qualified entry Priority enrollment Discounted credit for alumni

    ProCamp · 3-Month

    Become a Real Practitioner

    Everything this crash course skipped, at full depth. 6+ ML families, deep learning, advanced RAG development, agents and full-time intensity.

    Explore ProCamp
    MasterCamp · 6-Month

    The Strongest Launch

    The deepest AI engineer training program. Fine-tuning, multi-modal AI, production observability and integrated placement support.

    Explore MasterCamp
    Talk To An Advisor

    Not sure if a crash course is right? Let's talk.

    Tell us a little about yourself and a GrowthLab advisor will call you back, usually within one business day.

    See if the 45-day Crash Course is the right fit for you
    Get upcoming cohort dates and program schedule
    Secure your early-bird seat and available discounts
    Understand your path to internship opportunities

      Request a Callback

      A two-minute chat about the cohort, start dates and your seat.

      🔒 We'll never share your details. No spam.

      FAQs

      Everything you need to know.

      Do I need prior ML experience?
      +

      No. The only prerequisite is basic programming, meaning comfort with variables, loops and functions in any language. This beginner AI course starts at Python fundamentals on Day 1 and builds up to deployed AI applications.

      When are the sessions, and are they online?
      +

      It's 100% online. Live sessions run every day for 45 consecutive days, including weekends (which add an extended project block). Recordings are available within 48 hours.

      What will I have built by the end?
      +

      A portfolio of four deployable AI projects: an end-to-end ML pipeline, an LLM-powered tool, a production RAG app, and a deployed AI service, plus a final capstone you present on Demo Day.

      Is 45 days really enough to get a job?
      +

      It's enough to be internship-ready and to build a real AI portfolio, not to be a senior engineer. This is a focused crash course. If you want full job-readiness with placement support, that's what the 3-month and 6-month flagship programs are for.

      Can I continue into a longer program afterwards?
      +

      Yes, that's the design. Graduates are pre-qualified for the 3-month and 6-month flagships, get priority enrollment and discounted credit, and about 70% of this course overlaps the flagship's first few weeks, so it's a natural step up.

      The Next 45 Days Could Change Your Career.

      The upcoming cohort is filling fast. Reserve your seat before applications close.