S
SESRA
Fundamentals

Introduction to AI

Comprehensive AI Fundamentals for Everyone

A foundational course for anyone curious about Artificial Intelligence, providing clear understanding of AI concepts, applications, and societal impact.

24 hours
Duration
12
Sessions
Comprehensive
Content
Certificate
Included
Target Audience

Anyone curious about Artificial Intelligence, including fresh graduates, non-technical professionals, students, and general enthusiasts, seeking a foundational understanding of AI's concepts, applications, and societal impact.

Learning Objectives

Provide participants with a clear, accessible, and comprehensive introduction to the core concepts of Artificial Intelligence, its diverse applications in daily life and various industries, and the ethical considerations surrounding its development and use.

Course Modules

Session 1: What is AI? Demystifying the Buzzword

02:00 hours

Understanding the fundamentals and history of Artificial Intelligence

Topics Covered:

Defining Artificial Intelligence: Narrow AI, General AI, Superintelligence
Brief history of AI: from early concepts to modern breakthroughs
Key sub-fields of AI: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision
AI vs. Automation vs. Robotics
Practical: Interactive discussion on personal experiences with AI in everyday life (e.g., streaming recommendations, smart assistants)

Session 2: How AI Learns – Introduction to Machine Learning

02:00 hours

Understanding different types of machine learning and how AI systems learn

Topics Covered:

Supervised Learning: training with labeled data (e.g., spam detection)
Unsupervised Learning: finding patterns in unlabeled data (e.g., customer segmentation)
Reinforcement Learning: learning through trial and error (e.g., game playing AI)
Basic concepts: data, features, models, training
Practical: Simple analogies and visual examples of how ML algorithms work

Session 3: The Power of Neural Networks and Deep Learning

02:00 hours

Exploring artificial neural networks and deep learning capabilities

Topics Covered:

Inspired by the human brain: understanding artificial neural networks
What is Deep Learning and why is it so powerful?
Applications of Deep Learning: image recognition, speech recognition
Introduction to Generative Adversarial Networks (GANs) and their uses
Practical: Visual demonstration of neural networks recognizing patterns

Session 4: Natural Language Processing (NLP) – AI that Understands Language

02:00 hours

How computers process and understand human language

Topics Covered:

How computers process and understand human language
Key NLP tasks: text classification, sentiment analysis, machine translation
Introduction to Large Language Models (LLMs) like GPT and Gemini
Applications: chatbots, language translation, content summarization
Practical: Experimenting with an online translation tool or a simple sentiment analyzer

Session 5: Computer Vision – AI that Sees

02:00 hours

Understanding how AI enables computers to interpret visual information

Topics Covered:

How AI enables computers to 'see' and interpret images and videos
Applications: facial recognition, object detection, autonomous vehicles, medical imaging
Challenges in computer vision (e.g., lighting, occlusions)
Practical: Exploring online image recognition demos

Session 6: Generative AI – Creating New Content

02:00 hours

Exploring AI's ability to create text, images, audio, and video

Topics Covered:

Understanding the concept of generative models
Generating text: creative writing, code, summaries
Generating images: AI art, design, virtual environments
Generating audio and video with AI
Practical: Hands-on experience with a popular generative AI tool (e.g., ChatGPT, Google Gemini, Midjourney/Canva AI)

Session 7: AI in Everyday Life – From Smartphones to Smart Homes

02:00 hours

Discovering AI applications in daily life and personal technology

Topics Covered:

Personal assistants (Siri, Google Assistant, Alexa)
Recommendation systems (Netflix, Amazon, Spotify)
Navigation apps and smart city applications
AI in social media and online advertising
Practical: Discussion on how AI impacts their daily routines

Session 8: AI Across Industries – Real-World Applications

02:00 hours

Exploring AI transformations across different sectors

Topics Covered:

Healthcare: diagnostics, drug discovery, personalized medicine
Finance: fraud detection, algorithmic trading, credit scoring
Retail: personalized shopping, supply chain optimization
Education: personalized learning, intelligent tutoring systems
Practical: Case studies of AI transforming different sectors

Session 9: The Data Behind AI – Understanding its Importance

02:00 hours

Learning about data's crucial role in AI systems

Topics Covered:

What is data and why is it crucial for AI?
Types of data: structured, unstructured
Basic concepts of data collection, storage, and processing
The 'Garbage In, Garbage Out' principle
Practical: Simple exercises to identify data types and sources

Session 10: Ethical Considerations and Responsible AI

02:00 hours

Understanding the ethical implications and responsible use of AI

Topics Covered:

Bias in AI: how it arises and its consequences
Privacy concerns: data collection and usage
Accountability and transparency in AI decision-making
The concept of 'human in the loop'
Practical: Discussion on ethical dilemmas related to AI

Session 11: The Future of AI and Its Impact on Society

02:00 hours

Exploring AI's future potential and societal implications

Topics Covered:

AI and the future of work: job displacement vs. job creation
AI in research and scientific discovery
The promise and peril of Artificial General Intelligence (AGI)
Preparing for an AI-powered future
Practical: Group brainstorming on future AI scenarios

Session 12: Building Your AI Literacy and Next Steps

02:00 hours

Continuing your AI learning journey and practical applications

Topics Covered:

Resources for continued learning (online courses, books, communities)
How to stay updated with AI advancements
Identifying personal and professional applications of AI
Q&A and final reflections
Practical: Participants share their key takeaways and future interests in AI
₹99,999 + GST

per person

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This course includes:

  • 12 live interactive sessions
  • Comprehensive course materials
  • Practical exercises and case studies
  • Expert instructor guidance
  • Certificate of completion
  • Lifetime access to course materials

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Why Choose This Course?
  • Industry-relevant curriculum
  • Hands-on practical exercises
  • Expert instructors
  • Small batch sizes
  • Flexible scheduling
  • Post-course support