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Generative AI Foundation

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Embark on a Journey into the World of Generative AI Course: Unravel the Magic of AI Creativity, Explore Revolutionary Generative Models, and Understand their Impact on Society. Designed for Beginners. No Coding Experience Needed. Embrace the Future and Ignite Your Innovative Spiri

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Welcome to the Foundation certification Course in Generative AI by Multisoft Virtual Academy, a ground breaking exploration into the creative applications of artificial intelligence. This course is designed with beginners and non-technical learners in mind, offering a thorough understanding of generative models and their fascinating implications.

Starting with the basics of AI and machine learning, you'll get an in-depth look at generative models, focusing on Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models. You'll explore how these AI systems generate new, creative outcomes - from art and music to prose and beyond. But we'll go beyond just understanding the technology. This course also delves into the ethical considerations and societal implications of Generative AI, helping you form a balanced view of this emerging field. Although this is a non-technical course, an optional Python primer is available for those interested in the technical side of AI. Prior coding experience isn't required.

So, if you're ready to delve into the captivating world of Generative AI training course and understand how this technology is shaping our creative future, join us in this illuminating journey. It's time to demystify AI and uncover its boundless potential.

  • What is Generative AI?
  • Evolution of Artificial Intelligence
  • AI vs Machine Learning vs Deep Learning
  • Generative AI Landscape
  • Business Applications of Generative AI
  • Industry Use Cases

  • Introduction to LLMs
  • Foundation Models
  • How LLMs Work
  • Training and Inference Concepts
  • Tokens and Context Windows
  • Popular LLMs (GPT, Claude, Gemini, Llama)

  • Evolution of NLP Models
  • Introduction to Transformers
  • Attention Mechanism
  • Self-Attention Concepts
  • Encoder and Decoder Architecture
  • Why Transformers Revolutionized AI

  • What is Prompt Engineering?
  • Types of Prompts
  • Instruction-Based Prompting
  • Role-Based Prompting
  • Contextual Prompting
  • Prompt Optimization Techniques
  • Common Prompting Mistakes

  • Introduction to ChatGPT
  • Claude Overview
  • Gemini Overview
  • AI Productivity Tools
  • AI Content Generation Platforms
  • Practical AI Applications

  • What are Embeddings?
  • Semantic Search Fundamentals
  • Vector Representation of Data
  • Similarity Search Concepts
  • Enterprise Search Applications

  • Introduction to AI APIs
  • API-Based AI Applications
  • AI Service Integration Concepts
  • Business Use Cases
  • Automation Opportunities
  • Enterprise AI Adoption

  • Introduction to RAG
  • Knowledge Retrieval Concepts
  • Enterprise Knowledge Systems
  • RAG Architecture Overview
  • Benefits and Limitations
  • Real-World Applications

  • Content Creation
  • Marketing Automation
  • Customer Support
  • Knowledge Management
  • Software Development Assistance
  • Business Productivity Enhancement

  • AI Ethics Fundamentals
  • Bias and Fairness
  • Data Privacy Considerations
  • Responsible AI Practices
  • AI Governance
  • Security Considerations

The Generative AI - Foundation certification course by Multisoft Virtual Academy is an engaging introduction to the world of generative models in artificial intelligence. Designed for beginners and non-technical learners, it provides insights into AI creativity, exploring how AI can generate art, text,

music, and more, while discussing its ethical and societal implications. Upon completion of the Foundation Course in Generative AI, learners will:

  • Gain a solid understanding of the fundamental concepts of Artificial Intelligence and Machine Learning, particularly generative models.
  • Explore different types of Generative AI, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models.
  • Learn about the creative applications of AI in fields such as art, music, and writing.
  • Develop a nuanced perspective on the ethical considerations and societal implications of Generative AI.
  • Be able to appreciate and critique AI-generated content, understanding both its capabilities and limitations.
  • Acquire the foundational knowledge necessary for further studies or career development in the field of AI.
  • Foster an on-going curiosity and enthusiasm for the rapidly evolving field of AI.
  • Have the option to learn basic Python coding for AI, for those interested in the technical aspects of Generative AI.

Generative AI is a branch of Artificial Intelligence that creates new content such as text, images, audio, video, and code by learning patterns from large datasets.

This training is suitable for professionals, students, business users, developers, and anyone interested in understanding and applying Generative AI technologies.

No. The course is designed for both technical and non-technical learners, making it accessible to beginners as well as experienced professionals.

Participants will be introduced to popular Generative AI platforms, Large Language Models, AI tools, and practical applications used across industries.

You will understand the fundamentals of Generative AI, LLMs, prompt engineering, AI applications, responsible AI practices, and the foundational concepts required for advanced AI learning paths.

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