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Artificial Intelligence

via SWAYAM Plus

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Artificial Intelligence course (in collaboration with Google) offers a comprehensive exploration of AI principles, algorithms, and applications, providing students with a deep understanding of deep learning, neural networks, time series and model deployment. Through theoretical study and hands-on projects, participants delve into the intricacies of AI techniques, learning to develop intelligent systems, analyze data, and solve complex problems across diverse domains. Emphasizing both theoretical foundations and practical implementation, the course equips students with the skills and knowledge necessary to navigate the rapidly evolving landscape of artificial intelligence and contribute meaningfully to its advancements and applications in various fields.

Intended audience

Data Scientist, Machine Learning Engineer, AI Developer, AI Engineer, AI Researcher

Prerequisites

BE/BTech, ME/MTech, Bsc, Msc, BCA, MCA

Assessment & certification

Assessment fee: Included — no extra fee
Assessment mode: Online proctored
Assessment type: Project-Based Assessment & Quiz
Assessment provider: Smartbridge
Certificate provider: Data Scientist, Machine Learning Engineer, AI Developer, AI Engineer, AI Researcher

NCrF level: 5.5 (NCrF credit-eligible)

Syllabus

Week 1: Introduction to Artificial Intelligence
Week 2: Introduction to Python
Week 3: Deep Learning With Tensorflow
Week 4: Artificial neural network (ANN)
Week 5: Convolutional neural network (CNN)
Week 6: Transfer Learning with Tensorflow (VGG16, VGG 19, RESNET 50, Inception v3 & Xception)
Week 7: Recurrent neural network (RNN)
Week 8: Long Short-Term Memory (LSTM)
Week 9: Time Series
Week 10: Web App Development using Flask