Go beyond the basics with a hands-on 12-week AI engineer training program. Learn machine learning, deep learning, LLMs, RAG, AI agents, and deployment through real projects that prepare you for production AI development.
ProCamp combines structured learning, expert guidance, and real-world projects to help you confidently build, deploy, and showcase complete AI applications.
The exact things a junior AI/ML engineer gets hired to do.
Not because they don't matter — because there's no time. Here, there is.
Designed for ambitious learners committed to mastering AI through practical machine learning training, real projects, and full-time, hands-on development.
Build an impressive GitHub portfolio through AI project-based learning and machine learning projects that help you stand out during placements.
Strengthen your AI engineer roadmap with practical machine learning, LLM development, RAG, and AI application deployment experience.
Transition into AI with hands-on AI learning, production-ready projects, and industry tools used to build modern AI applications.
Go from knowing the foundational concepts to building production-ready applications through guided learning, mentorship, and real-world implementation.
Build a strong foundation with Python, NumPy, Pandas, SQL, and data analysis for machine learning.
Train, evaluate, and improve machine learning models while building your first production-ready AI project.
Learn neural networks, computer vision, and sequence models through hands-on deep learning projects.
Build LLM applications using prompt engineering, OpenAI APIs, embeddings, vector databases, and retrieval-augmented generation.
Deploy AI applications with FastAPI and Docker, then showcase your skills through a production-ready capstone project.
Join the next ProCamp cohort and start building portfolio-ready AI applications with expert guidance.
Apply Now →Gain hands-on experience with the tools used by professional AI engineers.
Python
NumPy
Pandas
SQL / SQLite
Matplotlib & Seaborn
scikit-learn
XGBoost
SHAP
OpenAI
Anthropic
Gemini
Embeddings
Chroma
RAG (Hybrid + Rerank)
FastAPI
Docker
HuggingFace Spaces
Streamlit
Git & GitHubApply every concept through hands-on projects that prepare you for internships, placements, and real AI engineering roles.
Build, train, evaluate, and improve a complete machine learning pipeline using real-world data.
Develop a deep learning model for computer vision or sequence-based prediction using PyTorch.
Create an AI application using OpenAI, Claude, or Gemini with prompt engineering techniques.
Build a Retrieval-Augmented Generation (RAG) application using embeddings, Chroma, and your own knowledge base.
Deploy your AI application with FastAPI and Docker, then present your complete solution during Demo Day.
ProCamp makes you genuinely deployable. But if you want the deepest run we offer — and a team helping you land the offer at the end of it — MasterCamp is where our most ambitious grads go next. And they walk straight in.
Take your AI skills further through six months of advanced learning focused on fine-tuning, AI agents, multimodal AI, MLOps, production observability, and continuous placement support.
Explore MasterCamp →Get honest answers to your questions, understand what to expect, and explore whether ProCamp is the right learning path for you.
None at all. If you're comfortable with the basics of any programming language, variables, loops, and functions, you're ready. Day 1 starts with Python fundamentals, and we climb steadily from there all the way to a deployed AI app.
Five graded capstones, a tree-based ML project, a deep learning model, a production RAG app, and a deployed final capstone. Plus a Phase 1 EDA project and near-weekly submissions. All of it lives on a GitHub you'll be happy to send to anyone.
Every phase capstone counts toward your final grade, with the demo day capstone weighted the heaviest. You pass at 60% overall, and no single capstone can fall below a pass. The bar is set where a real employer would set it, so clearing it means something.
You graduate genuinely deployable, with a portfolio to prove it. And if you want to go further, ProCamp grads walk straight into the 6-month MasterCamp, deeper still, with fine-tuning, agents, MLOps, and dedicated placement support, and get alumni credit toward tuition.
Request a callback, and an advisor will walk you through the tuition, the seats left in the next cohort, and any scholarship you might qualify for, all in a couple of minutes.
Spend the next twelve weeks applying AI concepts to real applications that showcase both your technical and problem-solving skills.