Data & AI Training

Artificial Intelligence

Name: Artificial Intelligence
Availability: InStock

A structured introduction to AI: search, reasoning, machine learning, neural networks, NLP, computer vision, generative AI, agents and AI ethics.

Beginner to IntermediateAI & Data

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At a glance

CategoryData & AI Training
LevelBeginner to Intermediate
Curriculum6 modules, 4 project ideas
InstituteAIIT Roorkee, Roorkee

Course Overview

About this course

Artificial Intelligence is the study and engineering of systems that perform tasks associated with human intelligence, such as recognising patterns, understanding language, planning and making decisions.

This course gives a broad and practical map of the field. You learn classical AI ideas such as search and knowledge representation, then machine learning, neural networks, language and vision applications, generative AI and AI agents, with hands-on Python exercises and a clear discussion of ethics and limitations.

Learning Objectives

By the end of Artificial Intelligence, learners should be able to:

Explain the main branches of AI and how they relate
Implement search and simple reasoning methods
Build basic machine learning and neural network models
Use pretrained models for language and vision tasks
Evaluate AI systems for accuracy, bias and responsible use

Topics Covered

01What AI is

History and types of AI
Intelligent agents
AI in industry

02Search and reasoning

Uninformed and heuristic search
Game playing
Logic and knowledge representation

03Learning from data

Machine learning overview
Training and evaluation
Neural network basics

04Language and vision

Natural language processing
Computer vision
Speech

05Generative AI and agents

Large language models
Prompting and retrieval
AI agents

06Responsible AI

Bias and fairness
Privacy and safety
Regulation and governance overview

Topic order and depth may be adjusted for the batch, format and learner level.

Practical Learning

Every module pairs explanation with hands-on work. Typical practical activities in this course:

Pathfinding and puzzle solving with search algorithms

Using pretrained models through Python

Mini experiments comparing AI approaches

Ethics case discussions

Representative Projects

Projects are chosen with mentors based on your level and interests. Examples include:

Maze solver with A* search
Image recognition app with a pretrained model
Simple chatbot with an LLM API
AI use case proposal for a real organisation

Who Should Join

Students beginning their AI learning
Engineering and computer science students with AI in syllabus
Professionals who want a clear understanding of AI
Managers and educators exploring AI adoption

Prerequisites

Python basics recommended
School level mathematics

Learning Format

This course can be offered in the following formats, depending on the batch:

Short-Term Courses
Long-Term Courses
Certification-Oriented Programs
Weekend Programs
Workshops
Live Project Training
Internship Programs

Ask the team for current batch timings and the formats open for Artificial Intelligence.

Career Relevance

Skills from this course are relevant to roles and directions such as:

AI Engineer foundation
Machine Learning Engineer foundation
AI Product and Solutions roles
AI enabled roles across industries

Career relevance describes where these skills are commonly used. It is not a promise of employment. Learners can use AIIT Roorkee's placement assistance for career preparation support.

FAQs

Is this course suitable if I am new to AI?

Yes. It is designed as a structured starting point. Some Python knowledge helps with the practical exercises.

Which AI course should I take after this?

Choose Machine Learning and Deep Learning to build models, or Generative AI, LLM Applications and Agentic AI to build with modern AI tools.

Does the course cover ChatGPT style tools?

Yes. The generative AI module explains how large language models work and how to use them responsibly in applications.

What is the duration and schedule of this course?

Duration, batch timings and format are shared when you enquire, because they depend on whether you choose a short-term, long-term, weekend or training format. Contact the team by phone, WhatsApp or email for current batches.

Is placement assistance available?

Learners can use AIIT Roorkee's placement assistance, which includes career counselling, CV preparation, LinkedIn development, interview preparation and mock interviews. Placement assistance is career preparation support and does not constitute a guarantee of employment or placement.

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