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Course Highlights

  • Learning Outcomes.
  • Learn the fundamentals and technicalities of Generative AI models.
  • Develop AI-generated content, including text, images, and more.
  • Enhance productivity by automating creative tasks using AI tools.
  • Gain expertise in using various Generative AI platforms and frameworks.
  • Understand ethical considerations and responsible usage of AI.
  • Learn to customize and fine-tune AI models for specific applications.
  • Improve problem-solving skills by leveraging AI for innovative solutions.
  • Skill Type

  • Course Duration

  • Domain

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in Introduction on Generative AI – Artificial intelligence and Machine Learning

Learn to leverage Generative AI tools and techniques to create, optimize, and automate content while understanding its applications and ethical use.

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Reasons to enrol

Why should you take a Generative AI course?

  • High-Demand Skillset: Gain expertise in a rapidly growing field that is reshaping industries worldwide.
  • Career Advancement Opportunities: Open doors to lucrative roles such as AI Engineer, Data Scientist, or Creative Technologist.
  • Creative Potential: Unlock the ability to create unique text, images, videos, and other forms of media using AI tools.
  • Understanding Cutting-Edge Technologies: Learn about advanced concepts like deep learning, natural language processing, and transformer models.
  • Interdisciplinary Applications: Explore how generative AI is revolutionizing fields such as marketing, healthcare, education, and finance.
  • Practical, Hands-On Learning: Work on real-world projects and gain experience with popular tools like OpenAI, Hugging Face, and Google Cloud.
  • Entrepreneurial Opportunities: Leverage AI to build innovative applications, automate workflows, or launch your own startup.
  • Future-Proofing Your Career: Equip yourself with skills that ensure you stay relevant in an AI-driven future.
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Ideal Participants

Who should take a Generative AI course?

  • Intended Audience.
  • Tech Professionals looking to upskill in cutting-edge AI technologies for career growth.
  • Professionals from non-technical roles seeking to understand and leverage AI in their industries.
  • Entrepreneurs and Business Owners aiming to integrate AI-powered tools into their ventures.
  • Students and Freshers aspiring to build a career in AI, data science, or machine learning.
  • Creatives and Innovators exploring the potential of AI for content creation and design.
  • Anyone curious about the transformative impact of AI and its future applications.
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Curriculum

Curriculum

Generative AI focuses on creating content such as text, images, videos, and more using AI algorithms. It combines creativity with advanced technology to solve real-world problems and drive innovation.

To ensure a comprehensive understanding, the course is structured into three levels with a detailed topic breakdown:

  • In the first level, you will learn the Fundamentals of Generative AI, covering topics like machine learning basics, neural networks, transformer models, and an introduction to tools like OpenAI GPT and DALL·E.
  • In the second level, the course dives into Practical Applications of Generative AI, where you'll explore real-world use cases such as text generation, image synthesis, and AI-assisted content creation.
  • In the third level, you’ll focus on Advanced Techniques and Implementation, including fine-tuning AI models, ethical considerations, deployment strategies, and using APIs for custom solutions.

Generative AI is revolutionizing industries, offering a perfect blend of technical knowledge and creativity to empower individuals and businesses alike.

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skills and tools

Tools you will learn in the Generative AI course

In our comprehensive Generative AI course, you will gain proficiency in a wide array of powerful tools to create, manage, and optimize AI-generated content:

  • OpenAI GPT (ChatGPT)
  • DALL·E (for Image Generation)
  • Hugging Face (Transformers Library)
  • Google Colab (for coding and model experimentation)
  • TensorFlow & PyTorch (for deep learning model development)
  • Runway ML (for creative AI applications)
  • AI APIs & Integrations
  • Jupyter Notebooks (for running and testing models)

These tools will help you master the end-to-end process of creating and deploying generative AI solutions.

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