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Certificate program in Artificial Intelligence & Machine Learning - E-Learning

via SWAYAM Plus

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Understand the fundamentals of artificial intelligence and machine learning. Learn to develop AI models and applications to solve complex problems.

Intended audience

Machine Learning Engineer, AI Developer / AI Engineer, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, Data Scientist, Generative AI Specialist, Speech Analytics Specialist, Forecasting Analyst, Reinforcement Learning Engineer, AI Research Associate

Prerequisites

BE / B. Tech / ME / M. Tech / Degree

Assessment & certification

Assessment fee: Included — no extra fee
Assessment mode: Online
Assessment type: MCQ
Assessment provider: ExcelR
Certificate provider: SWAYAM Plus and ExcelR

NCrF level: 6.5 (NCrF credit-eligible)

Syllabus

Week 1: Introduction to Machine Learning, Deep Learning, and Artificial Intelligence (AI)
Week 2: Python Programming for ML & AI
Week 3: Mathematics: Calculus and Vector Algebra
Week 4: Machine Learning Techniques:
Week 5: Linear Regression, Logistic Regression
Week 6: Segmentation Methods
Week 7: Bagging and Boosting Algorithms
Week 8: Introduction to Neural Networks & Deep Learning
Week 9: Neural Network Architecture & Backward Propagation
Week 10: Understanding Parameters, Hyperparameters & Optimizers
Week 11: Computer Vision and CNN Architecture
Week 12: Transfer Learning in Computer Vision
Week 13: Advanced CNN Concepts
Week 14: Basics of Natural Language Processing (NLP): Concepts & Models
Week 15: Deep NLP (DNLP) and Forecasting with Deep Learning
Week 16: Seq2Seq Models and Advanced NLP Models
Week 17: Generative AI: GANs and Large Language Models (LLMs)
Week 18: Transfer Learning in NLP and Autoencoders
Week 19: AI Applications in various domains
Week 20: Speech Analytics
Week 21: Reinforcement Learning