29. Machine Learning Full Course Roadmap | Beginner to AI Engineer in 8 Modules

Опубликовано: 06 Август 2026
на канале: OTT Research Center
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Want to become an AI Engineer or Machine Learning Engineer?

In this video, I explain the complete syllabus of our industry-focused Machine Learning course designed for students, software engineers, data analysts, and AI enthusiasts.

Unlike traditional ML courses that stop at algorithms, this roadmap takes you from Machine Learning fundamentals all the way to Generative AI and Agentic AI systems.

📚 What You'll Learn
✅ Module 1 – Machine Learning Foundations
What is Machine Learning?
AI vs ML vs Deep Learning vs Generative AI
Types of Machine Learning
ML Lifecycle
Business Problem to ML Problem
Data Leakage
Correlation vs Causation
Hands-on using Pandas & Scikit-Learn
✅ Module 2 – Data Preparation & Feature Engineering
Data Cleaning
Missing Values
Outlier Handling
Feature Engineering
Feature Selection
One-Hot Encoding
Scaling
ML Pipelines
Connection to Embeddings & RAG
✅ Module 3 – Regression
Linear Regression
Ridge
Lasso
Elastic Net
Gradient Descent
Regularization
Bias-Variance Tradeoff
Model Evaluation
✅ Module 4 – Classification
Logistic Regression
Decision Trees
Random Forest
KNN
Gradient Boosting
Precision
Recall
ROC-AUC
Fraud Detection
Customer Churn Prediction
✅ Module 5 – Trees, Ensembles & Explainable AI
Decision Trees
Random Forest
XGBoost
Hyperparameter Tuning
Cross Validation
Grid Search
SHAP
Explainable AI
✅ Module 6 – Unsupervised Learning
Clustering
Recommendation Systems
PCA
Cosine Similarity
Embeddings
Semantic Search
Vector Databases
RAG Foundations
✅ Module 7 – Deep Learning
Neural Networks
CNN
RNN
LSTM
Transformers
Attention Mechanism
Tokenization
Fine-Tuning
Hallucinations
LLM Fundamentals
✅ Module 8 – Generative AI & Agentic AI
Prompt Engineering
RAG
Vector Search
LLM APIs
Tool Calling
AI Agents
Multi-Agent Systems
Planning
Reflection
Human-in-the-Loop
Capstone Project
💻 Hands-on Projects Included

✔ House Price Prediction

✔ Healthcare Cost Prediction

✔ Customer Churn Prediction

✔ Fraud Detection

✔ Recommendation System

✔ Semantic Search Engine

✔ Neural Network Classifier

✔ Transformer-based NLP

✔ Intelligent Customer Support Assistant