Generative AI Master Program

Duration:
64 Hours (8 Weekends)

32 Hours – Post training support (4 Weekends)

Cost:
Rs. 75000/-

Course Description

This course delves into the fascinating world of Generative AI, exploring its core concepts, techniques, and applications across various domains. You’ll gain a solid understanding of how Generative AI models work, the different approaches used for generating text, code, images, music, and other creative content. The course will also equip you with the critical skills to navigate the ethical considerations surrounding Generative AI development and deployment.

Course Structure

By the end of this course, you will be able to:

  • Explain the fundamental principles of Generative AI, including deep learning models, adversarial training, and various generative techniques.
  • Identify different types of Generative AI models (e.g., Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs)) and their applications.
  • Compare and contrast various generative approaches used for text generation, code generation, image synthesis, and music creation.
  • Evaluate the strengths and limitations of Generative AI models, considering factors like bias, fairness, and explainability.
  • Apply Generative AI techniques to practical problems through hands-on projects using popular tools and libraries (e.g., OpenAI API, TensorFlow).
  • Discuss the ethical considerations surrounding Generative AI development, such as data privacy, potential misuse, and responsible AI practices.
  • Analyze the impact of Generative AI on various industries and explore potential future applications in different fields.

Learning Objectives

The course will be delivered in a lecture-based, workshop-style, format, with a combination of theoretical explanations, practical exercises, and discussions.

Course Modules:

  • Week 1: Introduction to Generative AI, Deep Learning Fundamentals
  • Week 2: Generative Adversarial Networks (GANs)
  • Week 3: Variational Autoencoders (VAEs)
  • Week 4: Text Generation with Generative AI
  • Week 5: Code Generation with Generative AI
  • Week 6: Generative AI for Image Synthesis
  • Week 7: Generative AI for Music Creation (Optional)
  • Week 8: Hands-on Project – Introduction & Guidance
  • Week 9-10: Post training support -Project Development & submission
  • Week 11: Revision 1
  • Week 12: Revision 2

Prerequisites:

  • Basic understanding of computer science concepts.
  • Programming experience in Python (or similar language) is recommended.
  • An inquisitive mind and a passion for exploring the potential of AI!

The world of Generative AI is brimming with exciting tools! Here’s a glimpse into various categories of Generative AI tools you can learn and explore:

Text Generation:

  • Jasper: Craft compelling marketing copy, website content, blog posts, and even creative fiction using Jasper’s AI writing assistant.
  • Writesonic: Generate product descriptions, social media posts, and marketing copy in a variety of styles and tones with Writesonic.
  • Articoolo: This AI tool helps you create long-form content like articles and blog posts, saving you time and effort.

Code Generation:

  • GitHub Copilot: This AI coding assistant by GitHub suggests code completions and functions as you type, streamlining your development process.
  • Tabnine: Another AI code completion tool, Tabnine provides context-aware suggestions and helps you write cleaner, more efficient code.
  • DeepCode: While not strictly code generation, DeepCode uses AI to analyze your code and identify potential bugs and security vulnerabilities.

Image Generation:

  • DALL-E 2: OpenAI’s powerful image generation tool allows you to create realistic and creative images based on your text descriptions. (Limited access as of May 2024)
  • NightCafe Creator: Unleash your inner artist with NightCafe Creator, an AI tool that lets you generate artistic images from text prompts and styles.
  • StarryAI: This user-friendly platform lets you create stunning art pieces using different artistic styles with the help of AI.

Audio Generation:

  • Murf.ai: Breathe life into your text with Murf’s AI-powered text-to-speech tool, generating high-quality voice overs in various styles and accents.
  • Amper Music: Create unique and royalty-free music for your projects using Amper’s AI music generation capabilities.
  • Jukebox by OpenAI: While still under development, Jukebox is an impressive AI system that can generate music in various styles based on text descriptions. (Limited access)

Other Generative AI Tools:

  • OpenAI API: Gain access to OpenAI’s powerful Generative AI models through their API for various creative text formats, code generation, and more (requires technical expertise).
  • Hugging Face Transformers: This open-source library provides pre-trained Generative AI models for various tasks, making it easier for developers to integrate AI functionalities into their applications.

Generative AI Master Program

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  • $50,000.00 $50,000.00
https://dreamsplus.in/courses/generative-ai-master-program/ Generative AI Master Program
  • $50,000.00 $50,000.00

Duration:
64 Hours (8 Weekends)

32 Hours - Post training support (4 Weekends)

Cost:
Rs. 75000/-

Course Description

This course delves into the fascinating world of Generative AI, exploring its core concepts, techniques, and applications across various domains. You'll gain a solid understanding of how Generative AI models work, the different approaches used for generating text, code, images, music, and other creative content. The course will also equip you with the critical skills to navigate the ethical considerations surrounding Generative AI development and deployment.

Course Structure

By the end of this course, you will be able to:

  • Explain the fundamental principles of Generative AI, including deep learning models, adversarial training, and various generative techniques.
  • Identify different types of Generative AI models (e.g., Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs)) and their applications.
  • Compare and contrast various generative approaches used for text generation, code generation, image synthesis, and music creation.
  • Evaluate the strengths and limitations of Generative AI models, considering factors like bias, fairness, and explainability.
  • Apply Generative AI techniques to practical problems through hands-on projects using popular tools and libraries (e.g., OpenAI API, TensorFlow).
  • Discuss the ethical considerations surrounding Generative AI development, such as data privacy, potential misuse, and responsible AI practices.
  • Analyze the impact of Generative AI on various industries and explore potential future applications in different fields.

Learning Objectives

The course will be delivered in a lecture-based, workshop-style, format, with a combination of theoretical explanations, practical exercises, and discussions.

Course Modules:

  • Week 1: Introduction to Generative AI, Deep Learning Fundamentals
  • Week 2: Generative Adversarial Networks (GANs)
  • Week 3: Variational Autoencoders (VAEs)
  • Week 4: Text Generation with Generative AI
  • Week 5: Code Generation with Generative AI
  • Week 6: Generative AI for Image Synthesis
  • Week 7: Generative AI for Music Creation (Optional)
  • Week 8: Hands-on Project - Introduction & Guidance
  • Week 9-10: Post training support -Project Development & submission
  • Week 11: Revision 1
  • Week 12: Revision 2

Prerequisites:

  • Basic understanding of computer science concepts.
  • Programming experience in Python (or similar language) is recommended.
  • An inquisitive mind and a passion for exploring the potential of AI!

The world of Generative AI is brimming with exciting tools! Here's a glimpse into various categories of Generative AI tools you can learn and explore:

Text Generation:

  • Jasper: Craft compelling marketing copy, website content, blog posts, and even creative fiction using Jasper's AI writing assistant.
  • Writesonic: Generate product descriptions, social media posts, and marketing copy in a variety of styles and tones with Writesonic.
  • Articoolo: This AI tool helps you create long-form content like articles and blog posts, saving you time and effort.

Code Generation:

  • GitHub Copilot: This AI coding assistant by GitHub suggests code completions and functions as you type, streamlining your development process.
  • Tabnine: Another AI code completion tool, Tabnine provides context-aware suggestions and helps you write cleaner, more efficient code.
  • DeepCode: While not strictly code generation, DeepCode uses AI to analyze your code and identify potential bugs and security vulnerabilities.

Image Generation:

  • DALL-E 2: OpenAI's powerful image generation tool allows you to create realistic and creative images based on your text descriptions. (Limited access as of May 2024)
  • NightCafe Creator: Unleash your inner artist with NightCafe Creator, an AI tool that lets you generate artistic images from text prompts and styles.
  • StarryAI: This user-friendly platform lets you create stunning art pieces using different artistic styles with the help of AI.

Audio Generation:

  • Murf.ai: Breathe life into your text with Murf's AI-powered text-to-speech tool, generating high-quality voice overs in various styles and accents.
  • Amper Music: Create unique and royalty-free music for your projects using Amper's AI music generation capabilities.
  • Jukebox by OpenAI: While still under development, Jukebox is an impressive AI system that can generate music in various styles based on text descriptions. (Limited access)

Other Generative AI Tools:

  • OpenAI API: Gain access to OpenAI's powerful Generative AI models through their API for various creative text formats, code generation, and more (requires technical expertise).
  • Hugging Face Transformers: This open-source library provides pre-trained Generative AI models for various tasks, making it easier for developers to integrate AI functionalities into their applications.

Related Article:

Unleash Your Creativity: Dive into DreamsPlus Generative AI Course

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Date : 10/06/2024 Language : English

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