Learning Path

Transform Careers with AI & ML

01

Foundations

  • Python Programing
  • Python programming language for Artificial Intelligence
  • Python for Data Science – NumPy and Pandas
  • Data Visualization using Python
  1. Machine Learning and Statistical Learning
  2. Evolution of AI and Data Science
  3. Descriptive& Inferential Statistics
  4. Chi-square & ANOVA

02

Machine Learning

  • Linear & Logistic Regression
  • Supervised Learning (Decision Trees)
  • Unsupervised Learning
  • Clustering (K-Means & Hierarchical )
  • Principal Component Analysis (PCA)
Collaborative methods
  1. Bagging and Random Forests
  2. Boosting
Model deployment techniques
  1. Packaging Models
  2. Rest APIs, Dockers
  3. ML Pipeline and Model Scalability

03

Artificial Intelligence & Deep Learning

Deep neural networks (Artificial Neural Net)

  • Multi-layer Perceptron
  • Activation functions
  • Backpropagation
  • Optimizers and its types

Overview of Computer Vision (CV)
CNN Architectures

04

Natural Language Processing (NLP)

  • What is Natural Language Processing (NLP)?
  • Attention Mechanism and Transformer Models
  • BERT and its Applications

05

LLM & Gen AI

What is LLM?

  1. Generative AI models/tools
  2. Chat GPT
  3. Google Gemini
  4. Lama 2 (Facebook)
  5. Mistral

06

Recommendation Systems

  1. Popularity-based Model
  2. Market Basket Analysis
  3. Content-based Model
  4. Collaborative Filtering
  5. Hybrid Recommendation Systems
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