Introduction to Artificial Intelligence

Introduction to Artificial Intelligence
Overview

In this power-packed session, participants will gain a clear and practical introduction to Artificial Intelligence, exploring how modern AI systems learn, reason, and make decisions. The session is designed to help students and professionals understand core AI concepts, key terminologies, and real-world applications shaping today’s industries.

Through interactive explanations, real-time demonstrations, and guided hands-on activities, participants will explore foundational AI techniques such as machine learning, data-driven decision-making, and intelligent automation. During the session itself, they will build and evaluate simple AI workflows, gaining firsthand experience with how AI models are created, trained, and applied. By the end of the training, participants will walk away with a strong conceptual foundation, practical exposure, and a clear framework to confidently explore, learn, and apply AI in academic, professional, or business contexts.

EarlyRise's Introduction to Artificial Intelligence Micro Session Key Features

Core Artificial Intelligence concepts and terminology
Understanding how AI systems learn, reason, and make decisions
Hands-on AI workflow creation during the session
Introduction to Machine Learning and data-driven models
Live demos and guided practice

Benefits for Participants:

Develop a strong foundational understanding of Artificial Intelligence

Understand how AI systems learn, reason, and make decisions

Gain hands-on exposure to basic AI models and workflows

Build confidence to explore advanced AI and machine learning topics

Identify real-world AI use cases across industries

Enhance career readiness with practical, future-relevant AI skills

Micro Session Participants Enrollment Options

Online Micro Session

1000

Learn in an instructor-led online Micro session class
One to one mentorship for doubt resolution

Enroll Now

Classroom Micro Session

1500

Classroom based Micro session
One to one mentorship for doubt resolution

Enroll Now

Corporate Session Customized Based On Your Requirements

Customized to your team's needs

Customized learning delivery model (self-paced and/or instructor-led)
Flexible pricing options

Session Structure: Introduction to Artificial Intelligence

What is Artificial Intelligence?

Key Learning Objective: Understand what Artificial Intelligence is, its evolution, and how it differs from traditional rule-based systems.

Hands-on: Live Demo: Identify and classify real-world systems as AI or non-AI based on their decision-making capabilities.

AI vs Machine Learning vs Deep Learning

Key Learning Objective: Clearly distinguish between AI, Machine Learning, and Deep Learning and understand where each is applied.

Hands-on: Map real-world applications to AI, ML, or DL categories using guided examples

Role of Data in AI Systems

Key Learning Objective: Understand how data quality, features, and labels impact AI model performance..

Hands-on: Interactive Demo: Explore a sample dataset and identify features, labels, and potential data issues.

Training, Inference & Learning Types

Key Learning Objective: Learn how AI models are trained, how they make predictions, and the differences between supervised and unsupervised

Hands-on: Visual walkthrough of model training and inference using a simple example.

End-to-End AI Pipeline

Key Learning Objective: Understand the complete AI lifecycle from data ingestion and preprocessing to model training and prediction.

Hands-on: Build and execute a basic AI pipeline using a sample dataset.

AI for Model Evaluation & Interpretation

Key Learning Objective: Understand how to evaluate AI model performance and interpret results to make data-driven decisions

Hands-on: Hands-on: Analyze model outputs and basic performance metrics from the trained model.

AI in Real-World Applications

Key Learning Objective: Intelligence is applied across industries and understand how AI-driven systems solve real business and consumer problems.

Hands-on: AI Use Case Mapping – Select a real-world problem and map it to data inputs, AI model type, and expected outcomes.

Summary and Action Plan

Key Learning Objective: Review core AI concepts and establish a personalized, prioritized 3-Step learning or application action plan for the next phase.

Hands-on: Final Commitment: Participants outline their immediate next step in learning or applying Artificial Intelligence.

FAQ's

This session is ideal for students, professionals, and business users who want a clear understanding of Artificial Intelligence and how it is applied in real-world scenarios.

No prior technical background is required. The session is designed for beginners and explains AI concepts in a simple, easy-to-understand way.

You will understand core AI concepts, identify real-world AI applications, and differentiate between AI, Machine Learning, and Deep Learning.

The session combines conceptual explanations with practical examples and demonstrations to build strong foundational understanding.

Yes. It builds a strong AI foundation that supports further learning, career growth, and informed decision-making in AI-driven environments.

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