AI and Machine Learning
Master Artificial Intelligence & Machine Learning Technologies
Course Overview
🎯 Course Objective
Master artificial intelligence and machine learning technologies to build intelligent systems and applications. Learn to develop AI solutions that can solve complex real-world problems across various industries.
⏱️ Duration & Schedule
16-week comprehensive program with 3 sessions per week. Each session is 2 hours long with hands-on coding practice and real-world AI/ML projects.
💼 Career Prospects
Prepare for roles like AI Engineer, Machine Learning Engineer, Data Scientist, AI Research Scientist, and AI Product Manager. Includes interview preparation and placement assistance.
🏆 Certification
Receive industry-recognized certification upon successful completion with portfolio of AI/ML projects and practical assessments.
Meet Your Instructor
Trilochan Tarai
AI & ML Expert
With over 20 years of experience in artificial intelligence and machine learning, Trilochan has worked with leading tech companies like TCS and Majesco. He specializes in deep learning, neural networks, computer vision, and natural language processing, and has mentored over 40000+ students in their AI journey.
Course Curriculum
Module 1: Python Fundamentals for AI/ML
Duration: Week 1-2 | Topics: 8 sessions
- Python Programming Basics
- Data Structures and Algorithms
- NumPy for Numerical Computing
- Pandas for Data Manipulation
- Matplotlib and Seaborn for Visualization
- Jupyter Notebooks and Development Environment
- Statistical Analysis with Python
- Data Preprocessing and Cleaning
Module 2: Machine Learning Fundamentals
Duration: Week 3-5 | Topics: 12 sessions
- Introduction to Machine Learning
- Supervised Learning Algorithms
- Unsupervised Learning Techniques
- Model Evaluation and Validation
- Feature Engineering and Selection
- Cross-validation and Hyperparameter Tuning
- Ensemble Methods and Boosting
- Model Deployment and Production
- Scikit-learn Library Deep Dive
- Performance Metrics and Evaluation
- Bias and Fairness in ML
- ML Pipeline Development
Module 3: Deep Learning and Neural Networks
Duration: Week 6-8 | Topics: 12 sessions
- Introduction to Deep Learning
- Neural Networks Fundamentals
- TensorFlow and Keras Framework
- PyTorch for Deep Learning
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Long Short-Term Memory (LSTM)
- Transfer Learning and Pre-trained Models
- Regularization Techniques
- Optimization Algorithms
- Model Architecture Design
- Deep Learning Best Practices
Module 4: Computer Vision and Image Processing
Duration: Week 9-10 | Topics: 8 sessions
- Image Processing Fundamentals
- OpenCV for Computer Vision
- Image Classification with CNN
- Object Detection and Recognition
- Image Segmentation Techniques
- Face Recognition and Biometrics
- Medical Image Analysis
- Real-time Video Processing
Module 5: Natural Language Processing
Duration: Week 11-12 | Topics: 8 sessions
- Text Processing and Preprocessing
- Tokenization and Text Vectorization
- Word Embeddings (Word2Vec, GloVe)
- Sentiment Analysis
- Named Entity Recognition (NER)
- Text Classification and Clustering
- Language Models and Transformers
- Chatbot Development
Module 6: Advanced AI Topics and Projects
Duration: Week 13-16 | Topics: 16 sessions
- Reinforcement Learning
- Generative Adversarial Networks (GANs)
- Autoencoders and Variational Autoencoders
- Time Series Analysis and Forecasting
- Recommendation Systems
- AI Ethics and Responsible AI
- Model Interpretability and Explainability
- AI in Production and MLOps
- Capstone Project Development
- AI Portfolio Creation
- Interview Preparation
- Industry Case Studies
- AI Research and Innovation
- Future of AI and Emerging Trends
- AI Career Planning
- Final Project Presentation
Why Choose This Course?
Comprehensive AI Curriculum
From machine learning basics to advanced AI topics, covering everything needed for a successful AI career
Hands-on Practice
Live coding sessions, assignments, and real-world AI/ML projects with industry datasets
Industry-Focused
Learn AI and ML skills that are in high demand in the current job market with practical applications
Small Batch Size
Maximum 25 students per batch for personalized attention
Placement Support
Interview preparation and job placement assistance for AI/ML roles
Lifetime Support
Continued mentor support even after course completion
Ready to Master AI and Machine Learning?
Join hundreds of successful AI professionals who advanced their careers with cutting-edge AI and ML skills