AI & Machine Learning – Advanced Program

Type: Long Term

Duration: 10 Months

Course Overview

This long-term AI & Machine Learning Advanced Program is designed to take learners from foundational concepts to expert-level AI systems. The curriculum covers Python, statistics, machine learning, deep learning, computer vision, NLP, Generative AI, LLMs, MLOps, cloud deployment, vector databases, RAG systems, and multi-agent AI. The program emphasizes hands-on projects, real-world datasets, cloud deployment, and portfolio building aligned with current industry job roles.

Foundational Level (Months 1–2)

Python for AI & ML NumPy, Pandas, Matplotlib, Scikit-learn basics
SQL & Databases Joins, aggregations, analytical queries, dashboards
Statistics & Probability Hypothesis testing, distributions, confidence intervals
Linear Algebra & Calculus Vectors, matrices, gradients, derivatives for ML
Version Control & Collaboration Git, GitHub workflows, portfolio setup
Mini Projects & Portfolio Sales prediction, customer segmentation, SQL dashboard, GitHub portfolio

Associative Level (Months 3–4)

Supervised Machine Learning Regression, classification, decision trees, ensemble methods
Unsupervised Machine Learning Clustering, PCA, anomaly detection
Model Evaluation Techniques Cross-validation, ROC-AUC, precision-recall metrics
Feature Engineering & Pipelines Scaling, encoding, feature selection, ML pipelines
Experiment Tracking MLflow, Weights & Biases for experiment comparison
ML Portfolio Projects House price prediction, churn classification, recommendation systems

Expert Level (Months 5–8)

Deep Learning Fundamentals Neural networks using TensorFlow and PyTorch
Computer Vision CNNs, object detection, image classification
NLP & Transformers RNNs, LSTMs, BERT, GPT models
Generative AI LLMs, Stable Diffusion, text-to-image systems
Edge AI TensorFlow Lite, ONNX, model optimization for devices
Big Data & Data Engineering Spark basics, ETL pipelines
Cloud ML & APIs AWS SageMaker, GCP Vertex AI, FastAPI, Flask
MLOps & Deployment CI/CD, Docker, Kubernetes, MLflow
Vector Databases & RAG FAISS, Pinecone, Chroma, document-based Q&A
Advanced Projects Chatbots, image classifiers, cloud-deployed ML systems

Specialist Level (Months 9–10)

Advanced AI & Optimization GANs, hyperparameter tuning, LoRA, PEFT, reinforcement learning
Advanced MLOps Monitoring, drift detection, distributed training
Multi-Agent AI Systems CrewAI, LangGraph, autonomous AI agents
Business Analytics Specialization AI forecasting, causal ML, Power BI/Tableau integration
Computer Vision Specialization YOLOv8, OCR, document AI, video analytics
NLP & LLM Specialization LLM fine-tuning, RAG systems, LangChain, LlamaIndex
AI Product & Generative AI Multi-modal AI, AI SaaS, copilots, assistants
Capstone Project Industry-grade AI project solving real business problems
Career Preparation Resume building, GitHub, Kaggle, mock interviews, internships

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AI & Machine Learning – Advanced Program

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