Generative AI Course Masters Program
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Generative AI Course Masters Program

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With this extensive master's program, explore the revolutionary field of generative artificial intelligence. Get practical experience building AI models that can produce code, text, graphics, and more. Important topics covered in the program include deep learning, neural networks, diffusion models, language models like GPT, and moral AI practices. Learn cutting-edge methods for content generation, automation, and innovation applications using practical projects and technologies.

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Overview

The Generative AI Course Masters Program is an extensive learning experience designed to immerse professionals in the world of Generative AI. This comprehensive program covers the principles of Generative AI, Python programming, data science, NLP, and much more, with 200+ hours of interactive learning. You’ll gain hands-on experience through projects and assignments, preparing you to excel in AI-related roles across various industries.

Key Features

  • Comprehensive Curriculum
  • Cutting-Edge Tools and Frameworks
  • Hands-On Projects
  • Industry-Recognized Certification

Curriculum

Study Plan

1Module 1: Introduction to Generative AI and Python Programming
  • Basics of Python programming and its role in AI development.
  • Overview of Generative AI, key concepts, and industry applications.
2Module 2: Data Science Foundations for AI
  • Data preprocessing, feature engineering, and exploratory data analysis.
  • Building and evaluating machine learning models for AI applications
3Module 3: Natural Language Processing (NLP) and Generative Models
  • Introduction to NLP, sentiment analysis, and text generation.
  • Exploring Generative AI models like GPT and their practical applications.
4Module 4: Advanced Prompt Engineering and AI Techniques
  • Effective prompt engineering for AI model optimization.
  • Deep dive into advanced techniques like embeddings and vector databases.
5Module 5: Real-World Projects and AI Implementation
  • Hands-on projects that integrate Generative AI, NLP, and data science.
  • Practical assignments to apply learning and build a robust portfolio.

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