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Learn Generative AI

Build the Future with AI That Creates, Thinks, and Innovates

Generative AI is transforming how businesses create content, build software, analyze data, and engage customers. At Advaith Technologies, our Generative AI Training Program is designed to help learners, professionals, and organizations master cutting-edge AI models like ChatGPT, GPT-4, DALL·E, Stable Diffusion, and more — with real-world, hands-on experience.

Whether you are starting your AI journey or upgrading your skills, we empower you to design, deploy, and scale Generative AI solutions with confidence.

  1. Cloud Provider & Platform Certifications
    1. AWS Certified Generative AI Developer – Professional
    2. Google Cloud Certified – Generative AI Leader
    3. Databricks Generative AI Fundamentals Accreditation
    4. NVIDIA Generative AI LLMs Certification (Associate/Professional)
  2. Specialized Generative AI Certifications
    1. Certified Generative AI Specialist (IABAC – GAIS)
    2. Certified Generative AI Expert™ (Blockchain Council)
    3. Certified Generative AI Specialist / Expert (Various Courses)
  3. University & Professional Programs (Certificates)
    1. Applied Generative AI Specialization (e.g., P University & Simplilearn)
    2. Professional Certificate in Generative AI & Machine Learning (India / E&ICT Academy / IIT-linked)
    3. IITM / IIT Guwahati / E&ICT Academy Certified Programs in Generative AI

Skills You’ll Gain:

  1. Understanding of Generative AI and Large Language Models (LLMs)
  2. Prompt engineering and effective AI communication
  3. Building AI-powered chatbots and virtual assistants
  4. Integrating Generative AI APIs into applications
  5. AI-driven content creation (text, images, code)
  6. Automating workflows and business processes using AI
  7. Applying AI tools for data analysis and insights
  8. Ethical, responsible, and secure use of AI
  9. Enhancing productivity with AI-assisted tools
  10. Developing real-world AI projects and use cases
  11. Problem-solving using AI-based solutions
  12. Innovation and creative thinking with AI
  13. Industry-ready skills aligned with current AI roles
Module 1: Introduction to Generative AI

  • Overview of Artificial Intelligence & Machine Learning

  • What is Generative AI and how it works

  • Applications and industry use cases

  • Understanding LLMs and transformers

  • Tokens, embeddings, and context windows

  • Popular LLMs and AI platforms

  • Basics of prompt design

  • Advanced prompting techniques

  • Prompt optimization for accuracy and creativity

  • AI-based text creation and summarization

  • Building chatbots and virtual assistants

  • Conversational AI workflows

  • Image generation models and tools

  • Creating visuals using AI prompts

  • Ethical considerations in media generation

  • AI-assisted coding and debugging

  • Code documentation and optimization using AI

  • Integrating AI into development workflows

  • Using APIs to build AI-powered applications

  • Integrating AI with web and enterprise systems

  • End-to-end AI solution design

  • Generative AI in marketing, HR, finance, and IT

  • Enterprise automation and decision support

  • AI copilots and productivity tools

  • AI ethics, bias, and fairness

  • Data privacy and security

  • Governance and compliance best practices

  • Real-world project implementation

  • Case studies and problem-solving

  • Capstone project and presentations

  • Deploying Generative AI solutions

  • Monitoring performance and costs

  • Scaling AI applications responsibly

  • AI career paths and roles

  • Resume, portfolio, and interview guidance

  • Certification and next steps

Why Learn Generative AI?

  • High-demand, future-ready skill across industries
  • Ability to create content, images, code, and ideas using AI
  • Increased productivity through AI-powered automation
  • Strong career growth and new job opportunities
  • Competitive advantage in the job market
  • Faster problem-solving and decision-making
  • Innovation enablement for products and services
  • Cost and time savings for businesses
  • Improved creativity and ideation capabilities
  • Enhanced software development efficiency
  • Better data insights and knowledge extraction
  • Applicability across roles (IT, marketing, HR, finance, operations)
  • Hands-on experience with cutting-edge AI tools
  • Understanding of ethical and responsible AI usage
  • Readiness for AI-driven digital transformation

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