Artificial Intelligence (AI)

Professional Training Syllabus

  • Total Duration: 120 Hours
  • Training Type: Theory + Hands-on Practice + Projects
  • Level: Beginner to Intermediate
  • Mode: Classroom / Online (Instructor-Led)
  • Tools Covered: Python, Machine Learning Libraries, AI Frameworks, Data Handling Tools

Programme Overview

The Business Analytics training program is designed to help learners understand how data is used to improve business performance and decision-making. The syllabus focuses on analytical thinking, business problem-solving, data interpretation, and visualization using industry-relevant tools.

Course Objective

The objective of the AI course at Mahira Edge is to help learners understand how artificial intelligence is used to solve real-world problems. The course focuses on building a strong foundation in data, logic, and AI concepts, along with hands-on exposure to tools and techniques used in modern industries.

This program is designed to prepare learners to understand, apply, and work with AI-based solutions in business and technology environments.

Course Overview

Artificial Intelligence is transforming how businesses operate by automating tasks, improving decision-making, and enhancing customer experiences. This AI course provides a structured learning path that starts from basic concepts and gradually moves toward practical AI applications.

Learners gain hands-on experience through real datasets, examples, and projects, making it easier to understand how AI is applied in industries such as IT, finance, healthcare, marketing, and operations.

What You Learn

  • Understand core Artificial Intelligence concepts
  • Learn how data is used to build AI solutions
  • Use Python for basic AI and ML tasks
  • Understand how machine learning models work
  • Apply AI concepts to real business problems
  • Work on practical projects and case studies
  • Gain confidence to start a career in AI

Learning Outcomes

By the end of this AI course, learners will be able to:

  • Understand how Artificial Intelligence works in real industries

  • Prepare and work with data for AI applications

  • Apply basic machine learning techniques

  • Identify suitable AI solutions for business problems

  • Work on entry-level AI and analytics tasks

  • Communicate AI concepts clearly and confidently

MAHIRA EDGE Advantage

Mahira Edge offers practical, industry-oriented AI training designed for real career outcomes. Our teaching approach focuses on clarity, hands-on learning, and continuous student support.

Learners benefit from experienced trainers, live examples, project-based learning, and career guidance. We focus on skill-building, confidence, and job readiness rather than just theory.

Who Can Join This Course?

  • Students from any background
  • Fresh graduates
  • Working professionals
  • Career switchers
  • Beginners with no prior AI or coding experience

Career Opportunities After AI Course

After completing this course, learners can explore roles such as:

  • AI Analyst

  • Junior Machine Learning Engineer

  • Data Analyst (AI Support)

  • Business Analytics Professional

  • AI Operations Associate

  • Technology & Automation Analyst

    Detailed Syllabus Artificial Intelligence (AI) Professional Training Program

    Module 1: Introduction to Artificial Intelligence
    • Understanding Artificial Intelligence
    • AI vs Machine Learning vs Data Science
    • How AI is used in real industries
    • Popular AI applications and examples
    Module 2: Data Fundamentals for AI
    • Types of data used in AI
    • Data collection and preparation
    • Data cleaning and preprocessing basics
    • Understanding datasets and features
    Module 3: Python Basics for AI
    • Python fundamentals
    • Working with data using Python
    • Introduction to AI-related Python libraries
    • Writing simple AI programs
    Module 4: Machine Learning Fundamentals
    • Introduction to Machine Learning
    • Supervised and unsupervised learning
    • Regression and classification concepts
    • Model training basics
    Module 5: AI Models & Applications
    • Predictive analytics basics
    • Recommendation systems overview
    • Automation and AI in business
    • Responsible and ethical use of AI
    Module 6: Practical Projects & Case Studies
    • Hands-on AI mini projects
    • Real-world business case studies
    • Applying AI concepts to practical problems
    • Project presentation and explanation
    Module 7: Career & Interview PreparationYour Title Goes Here
    • AI interview fundamentals
    • Resume and profile guidance
    • Career roadmap in AI and analytics
    • Job role understanding