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Certificate program in Deep Learning / NLP / Artificial Intelligence - E-Learning

via SWAYAM Plus

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Dive into deep learning, natural language processing, and AI techniques. Learn to build intelligent systems and applications using advanced algorithms.

Intended audience

Machine Learning Engineer, Deep Learning Engineer, AI Engineer, Data Scientist, Computer Vision Engineer, NLP Engineer, AI Researcher, Generative AI Specialist, Forecasting Analyst, Speech Analytics Engineer

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 & AI
Week 2: Python Programming Basics for ML/DL
Week 3: Mathematical Foundations: Calculus and Vector Algebra
Week 4: Supervised Learning: Linear & Logistic Regression
Week 5: Unsupervised Learning: Segmentation Techniques
Week 6: Ensemble Methods: Bagging & Boosting
Week 7: Introduction to Neural Networks & Deep Learning
Week 8: Neural Network Architecture & Backward Propagation
Week 9: Parameters, Hyperparameters & Optimizers
Week 10: Computer Vision & CNN Architecture
Week 11: Transfer Learning in Computer Vision
Week 12: Advanced CNN Techniques
Week 13: Natural Language Processing (NLP) Basics & Models
Week 14: Deep NLP (DNLP), Seq2Seq Models, Advanced NLP Models
Week 15: Generative AI: GANs & Large Language Models (LLMs)
Week 16: Transfer Learning in NLP & Autoencoders
Week 17: AI Applications: Speech Analytics, Forecasting, Reinforcement Learning