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Machine Learning and AI Program

Master cutting-edge artificial intelligence and machine learning technologies with comprehensive curriculum covering deep learning, neural networks, NLP, computer vision, and generative AI for real-world business applications.

In partnership with
Bloomberg Technoz

This program is offered in partnership with

Bloomberg Technoz

Program Overview

This Machine Learning and AI Program is designed for professionals who want to master artificial intelligence and machine learning technologies for business transformation. Based on industry best practices and real-world applications, you'll learn from industry experts and work on hands-on projects that prepare you for roles in AI development, machine learning engineering, and AI strategy. The program comprehensively covers supervised and unsupervised learning, deep learning architectures (CNNs, RNNs, LSTMs), natural language processing with transformer models, computer vision applications, generative AI including GANs and large language models, and MLOps for production deployment. You'll gain practical experience building end-to-end AI solutions that solve real business challenges.

Program Details

Duration:

12-18 months

Format:

Online

Level:

Intermediate to Expert

What You'll Learn

  • Master fundamental concepts of artificial intelligence, machine learning, and their business applications
  • Build, train, and deploy production-ready machine learning models using TensorFlow, PyTorch, and scikit-learn
  • Implement advanced deep learning solutions including CNNs for image recognition and RNNs/LSTMs for sequence data
  • Apply generative AI techniques including GANs, VAEs, and large language models to solve business challenges
  • Develop expertise in natural language processing for text analysis, sentiment analysis, and language understanding
  • Master computer vision applications including object detection, image classification, and image segmentation
  • Implement MLOps practices including model versioning, CI/CD pipelines, monitoring, and A/B testing for production AI systems
  • Design and execute end-to-end AI projects from problem definition to deployment and monitoring

Curriculum

Module 1

Introduction to AI & Machine Learning

  • AI Fundamentals
  • ML Basics
  • Python for ML
  • Data Preprocessing
Module 2

Supervised Learning

  • Linear & Logistic Regression
  • Decision Trees
  • Random Forests
  • Model Evaluation Metrics
Module 3

Unsupervised Learning

  • K-Means Clustering
  • Hierarchical Clustering
  • Dimensionality Reduction
  • PCA & t-SNE
Module 4

Deep Learning Fundamentals

  • Neural Networks Architecture
  • Backpropagation
  • Activation Functions
  • Optimization Techniques
Module 5

Advanced Deep Learning

  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • LSTM & GRU
  • Transfer Learning
Module 6

Natural Language Processing

  • Text Processing & Tokenization
  • Word Embeddings
  • Sentiment Analysis
  • Transformer Models
Module 7

Computer Vision

  • Image Processing
  • Object Detection
  • Image Classification
  • YOLO & R-CNN
Module 8

Generative AI

  • GANs (Generative Adversarial Networks)
  • Variational Autoencoders
  • Large Language Models
  • Prompt Engineering
Module 9

MLOps & Deployment

  • Model Deployment Strategies
  • ML Pipelines
  • Model Monitoring
  • A/B Testing
Module 10

Capstone Project

  • End-to-End AI Project
  • Portfolio Development
  • Industry Case Study

Prerequisites

Basic programming knowledge (Python recommended), familiarity with statistics and linear algebra. Prior experience in data analysis is beneficial.

Program Information

Duration

12-18 months

Format

Online

Level

Intermediate to Expert