Certification Program in Machine Learning and Generative AI
Key Highlights
- 24 weeks guided learning program
- Live classes on weekend
- Bootcamp to build and deploy 20+ implementations
- Training driven by Data Scientists from top product companies
- Based on Practice, Not Theory
- Workshops every week to ensure continuous learning
- Project based learning
- Generative AI + Prompt Engineering included
- 100% Job Placement Assistance
Program Outline
- Introduction to Python
- Data Structures: List, Tuples, Sets, Dictionary Packages & Modules
- Iterators Generators
- Functions & argument variations, decorators
- Data types and variables
- Control structures and loops
- Functions and modules
- Object-Oriented Programming Concepts
- Control flows
- Classes and Objects
- Exceptions
- Introduction to SQL and NoSQL databases
- Schema
- Joins
- GroupBy
- Index
- Connecting & Querying with Python
- Calculus
- Linear Algebra
- Probability
- Statistics
- Numpy
- Pandas
- Matplotlib
- Selection
- Extraction
- Classification
- Regression Capacity
- Overfitting
- Underfitting
- Hyper parameters
- Validation sets
- SVM, K-Nearest, Naive Bayes, Decision Tree, Random Forest
- Principal Components Analysis
- K-means clustering, Stochastic Gradient Descent
- Text Representation
- Embeddings
- Feed forward Neural network
- Optimizers
- Back Propagation
- Multi Layer perceptrons
- Features for Perceptrons
- PyTorch
- Tensor
- Keras
- Convolutional Neural Networks(CNN)
- Autoencoders
- Recurrent Neural Network (RNN)
- Simple RNN
- LSTM RNN
- Attention & Transformers.
- BERT, GPT, Hugging face
- Prompt Engineering
- Langchain
- RAG
- Finetuning
Languages and Tool Set covered
