Introduction to AI Foundation

Online Live | 1 Month | Basic Certification
11,798.82 (Inc. GST)

Course Details:

  • Course Type : Online Live
  • Duration   : One Month
  • Skill Level : Beginner
  • Assessments : Yes
  • Certificate : Yes

 Learning Outcomes:

  • Understand fundamental AI concepts and terminology.
  • Recognize the diverse applications of AI across industries.
  • Learn to use basic AI-powered tools for common tasks.
  • Develop an awareness of ethical considerations in AI.
  • The focus is on understanding what AI is, its applications, and using basic AI tools for practical tasks.

Target Audience:

  • Students exploring career paths and curious about Artificial Intelligence.
  • Curious minds with no technical background who want to understand how AI works.
  • Working professionals looking to future-proof their careers with AI basics.
  • AI beginners interested in learning practical applications without coding.

Key Features:

  • Lectures with real-world examples and case studies.
  • No Prior Experience Required – Perfect for complete beginners from any background
  • Hands-On Learning — Learn Through Doing, Not Just Watching

Additional information

Centre for Summer Training

Hybrid Mode (Online Live + CIP), Online Live

Curriculum

Module 1 : Introduction to AI

  • What is Artificial Intelligence?

  • History and evolution of AI

  • Types of AI (Narrow AI, General AI, Super AI)

  • Core concepts:

    • Machine Learning

    • Deep Learning

    • Natural Language Processing (NLP)

    • Computer Vision

  • Hands-on Activity: Brainstorming AI applications in everyday life and different industries

Module 2 : AI Applications in Daily Life and Work

  • AI in search engines and recommendation systems

  • AI in virtual assistants and chatbots

  • AI in translation and language tools

  • AI in image and video recognition

  • AI in navigation and mapping

  • Hands-on Activity: Using AI-powered tools like Google Translate, Google Lens, and voice assistants (Google Assistant, Siri, etc.) for practical tasks

Module 3 : Introduction to Basic AI Tools (No-Code/Low-Code)

  • Exploring user-friendly AI platforms (e.g., Teachable Machine, Google AI Platform)

  • Using pre-trained AI models for image classification, text analysis, etc.

  • Introduction to AI-powered creativity tools (e.g., AI art generators, music generators)

  • Hands-on Activity: Building a simple image classifier using Teachable Machine, experimenting with AI art generators

Module 4 : Ethical Considerations in AI

  • Bias in AI algorithms

  • Privacy and data security concerns

  • Job displacement and the future of work

  • Responsible AI development and deployment

  • Hands-on Activity: Group discussion and case studies on ethical dilemmas in AI

Enquiry

Instructor Profile

Name: Ashish Tendulkar

About:

Dr. Ashish Tendulkar is an ML architect with Google Pay. He got his Master’s and Ph.D. from IIT Bombay and post-doc from Spain. Before joining Google, he has held various positions, including Assistant Professor at IIT Madras, VP of Data Science at Reliance, and Principal Data Scientist at Media.net.