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Your 8-Month AI Engineering Journey: A Project-Based Plan
Now $4,000/ Regular Price $8,000
This bootcamp is designed to turn you into a practical, hireable Machine Learning Engineer.
You will learn by building
Each month, you'll tackle new projects while iteratively developing a complex, multimodal AI assistant as your main capstone.
Core Continuous Project
Your Capstone in Development
Your Capstone in Development
You will build the "Virtual Travel Explorer," an AI assistant that evolves each month. It starts as a simple script and finishes as a deployed, tool-using, multimodal AI that can chat, recognize landmarks, and give real-time travel advice.
COURSE PROGRAM
- Focus: Mastering the data science toolkit, EDA, and core regression models.
- Project: House Prices - Advanced Regression Techniques
- You'll build models to predict home values, mastering feature engineering and regression on a complex, real-world Kaggle dataset.
- (Skills: EDA, Feature Engineering, Regression Models, XGBoost, Kaggle Competitions)
Main Project Goal: Build the v0.1 command-line version with simple, rule-based responses.
- Focus: Mastering finding hidden patterns in data.
- Project: Credit Card Customer Segmentation
- You'll act as a data scientist for a bank, using clustering algorithms to find distinct marketing groups in a dataset of customer spending habits.
- (Skills: Unsupervised Learning, K-Means, PCA, Customer Segmentation)
- Focus: Building Neural Networks from the fundamentals and experiencing the critical skill of creating your own dataset.
- Project: 'Street Fighter' Attack Classifier from Scratch
- You'll demystify deep learning by building a complete Neural Network from zero, using only NumPy, to recognize iconic video game moves.
- (Skills: Neural Network Fundamentals, Backpropagation, Python/NumPy)
- Project Task: The Data Creator (AI Lego Sorter Part 1)
- You will begin your CV anchor project by creating your own dataset. You'll photograph Lego bricks and meticulously label them with segmentation masks using CVAT, a professional annotation tool.
- (Skills: Data Collection, Manual Labeling, CVAT)
Main Project Goal: v0.3, with a simple Neural Network to improve intent understanding.
- Focus: Training high-performance classifiers on your custom data and tackling a real-world medical object detection challenge.
- Project: AI Lego Sorter (Part 2 - Classification)
- Using the dataset you created, you'll train a powerful image classifier to identify different Lego brick types.
- (Skills: Custom CNNs, Data Augmentation, Transfer Learning)
- Project: AI for Medical Image Analysis - Pneumonia Detection
- You'll work on a high-impact medical project, fine-tuning a YOLO model to find and draw bounding boxes around signs of pneumonia in chest X-rays.
- (Skills: Object Detection, YOLO, Medical Imaging)
Main Project Goal: v0.4, with a core visual feature to recognize famous landmarks from photos.
- Focus: Completing an advanced segmentation pipeline and diving deep into modern NLP with Transformers.
- Project: AI Lego Sorter (Part 3 - Segmentation)
- You'll take your project to the final level. Using your custom masks, you'll train a U-Net model to find the exact, pixel-perfect silhouette of each Lego brick.
- (Skills: Image Segmentation, U-Net Architecture, Custom Loss Functions)
- Project: Comment Toxicity Detector & Explainer
- You'll build a system to moderate online discussions by fine-tuning a Transformer to detect toxic comments, and then use Explainable AI (XAI) to understand why the model made its decisions.
- (Skills: NLP, Transformer Fine-Tuning, Hugging Face, XAI)
- Main Project Goal: v0.5, with a powerful Transformer NLU and basic conversational memory.
- Focus: Building modern AI applications with Retrieval-Augmented Generation and Parameter-Efficient Fine-Tuning.
- Project: AI Trip Planner - RAG
- You'll build the core knowledge system for your main project. This chatbot will "read" real travel guides and answer complex, conversational questions.
- (Skills: RAG, LangChain, Vector Databases, LLM APIs)
- Project: Text-to-SQL LLM Fine-Tuning
- You'll dive into modern LLM customization, using LoRA to teach an open-source LLM to become a specialist at converting plain English questions into accurate SQL queries.
- (Skills: LLM Fine-Tuning, PEFT, LoRA, Hugging Face trl)
Main Project Goal: v0.6, with a powerful LLM brain and the RAG system for providing deep travel knowledge.
- Focus: Mastering time series forecasting and learning the essential engineering skills to deploy a model into production.
- Project: Store Sales Time Series Forecasting
- You'll tackle a classic business problem by predicting future sales for a retail chain, mastering temporal feature engineering and comparing various forecasting models.
- (Skills: Time Series Analysis, Forecasting, Prophet, LSTMs)
- Project: Deploying Your CV Model API
- You'll take your trained Lego Detector model and turn it into a real product by packaging it into a professional, containerized (Docker) API with tests and a simple CI/CD pipeline.
- (Skills: MLOps, FastAPI, Docker, pytest, GitHub Actions)
- Bonus Projects (If you have time or want an extra challenge):
- 💪 Real-Time Exercise Form Guide: Use pose estimation for live workout feedback.
- 🎨 Neural Art Gallery: Style Transfer: Turn your photos into famous paintings.
Main Project Goal: v0.7, now an agent that can use tools (like a Weather API) and is deployed locally.
- Focus: Synthesizing all your skills into a flagship portfolio project and preparing for the job market.
- Capstone Project: Your Main Project v1.0
- You will build a polished, multimodal AI assistant that can chat, recognize landmarks, use a RAG knowledge base, and connect to live APIs. This is your flagship portfolio piece.
- (Skills: System Integration, Advanced Agent Design, Product Polish)
- Career Launchpad:
- You will finalize your portfolio, polish your resume, practice ML system design questions, and conduct mock interviews to get you ready to be hired.
100% Money-Back Guarantee
If the course isn’t right for you, we offer a full refund within 14 days after the course starts.
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