Advanced Project Development using AI based technologies

GMUSD67

Credits: 2.00

Prerequisites : Intermediate understanding of machine learning concepts and proficiency in Python programming

Course Duration : 30 Hours / 12 Weeks

Start Date : 2024-04-05

End Date : 2024-03-15

Seats Remaining : 60

Domain: Engineers, Data Scientists, and AI enthusiasts interested in advanced project development

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Aim & Summary

The course covers a wide range of advanced AI technologies, including deep learning, natural language processing (NLP), computer vision, reinforcement learning, and generative models. Participants will learn how to leverage these technologies to solve complex problems and create AI-driven applications. Through hands-on projects and practical exercises, participants will gain experience in designing, implementing, and deploying advanced AI-based projects. By the end of the course, participants will have the skills and confidence to tackle challenging projects using state-of-the-art AI technologies.

Course Content
Week 1	Introduction to Advanced AI-Based Project Development
Week 2	Deep Learning Fundamentals: Neural Networks and Optimization Techniques
Week 3	Advanced Deep Learning Architectures: CNNs, RNNs, and Transformers
Week 4	Natural Language Processing (NLP) Techniques: Word Embeddings, Sequence Models
QUIZ 1
Week 5	Computer Vision Applications: Image Classification, Object Detection, Image Segmentation
Week 6	Reinforcement Learning: Q-Learning, Policy Gradient Methods
Week 7	Generative Models: GANs, VAEs, and Applications in Creative AI
Week 8	Advanced Topics in AI: Transfer Learning, Meta-Learning, and Self-Supervised Learning
QUIZ 2
Week 9	Model Interpretability and Explainable AI Techniques
Week 10	Deployment Strategies for AI Models: Cloud Services, Containers, Edge Devices
Week 11	Ethical Considerations and Bias in AI Project Development
Week 12	Capstone Project Development: Designing and Implementing Advanced AI-Based Projects
PROJECT REPORT

Course Content

Week 1

Introduction to Advanced AI-Based Project Development

Week 2

Deep Learning Fundamentals: Neural Networks and Optimization Techniques

Week 3

Advanced Deep Learning Architectures: CNNs, RNNs, and Transformers

Week 4

Natural Language Processing (NLP) Techniques: Word Embeddings, Sequence Models

QUIZ 1

Week 5

Computer Vision Applications: Image Classification, Object Detection, Image Segmentation

Week 6

Reinforcement Learning: Q-Learning, Policy Gradient Methods

Week 7

Generative Models: GANs, VAEs, and Applications in Creative AI

Week 8

Advanced Topics in AI: Transfer Learning, Meta-Learning, and Self-Supervised Learning

QUIZ 2

Week 9

Model Interpretability and Explainable AI Techniques

Week 10

Deployment Strategies for AI Models: Cloud Services, Containers, Edge Devices

Week 11

Ethical Considerations and Bias in AI Project Development

Week 12

Capstone Project Development: Designing and Implementing Advanced AI-Based Projects

PROJECT REPORT

Course Certification

Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of GMU and company handling the course.