✓ Certified Course AI & Machine Learning

Artificial Intelligence & Machine Learning – Instructor-Led Training

Live instructor-led training covering Python for AI/ML, data analysis, Machine Learning algorithms, Deep Learning, NLP, Computer Vision, Generative AI, and practical project development

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Accreditation
3–4 Weeks Duration
Live Online Format
Certificate On Completion
Enrol Now — $800.00
Course Overview

About this course

This instructor-led Artificial Intelligence and Machine Learning program provides practical training across the core stages of AI/ML development. Participants will learn Python for AI/ML, mathematics and statistics fundamentals, data analysis and preprocessing, supervised and unsupervised learning, feature engineering, model optimization, Deep Learning, Natural Language Processing, Computer Vision, and Generative AI. The program emphasises hands-on exercises, real-world case studies, and an end-to-end AI/ML capstone project.
What's Included

Everything you get

✓ Live Instructor-Led Online Training
✓ Python for Artificial Intelligence & Machine Learning
✓ Mathematics and Statistics Fundamentals
✓ Data Analysis and Exploratory Data Analysis
✓ Data Preprocessing
✓ Machine Learning Algorithms
✓ Supervised and Unsupervised Learning
✓ Feature Engineering and Feature Selection
✓ Model Evaluation and Optimization
✓ Hyperparameter Tuning
✓ Neural Networks and Deep Learning
✓ Natural Language Processing Fundamentals
✓ Computer Vision Fundamentals
✓ Generative AI and Large Language Model Fundamentals
✓ Hands-on Practical Exercises
✓ Real-World AI/ML Case Studies
✓ End-to-End AI/ML Capstone Project
✓ Course Materials
✓ Instructor Guidance and Q&A Support
✓ Training Completion Certificate
What You'll Achieve

Learning outcomes

OUTCOME 1

Build a strong foundation in Artificial Intelligence and Machine Learning

OUTCOME 2

Use Python for basic AI and Machine Learning tasks

OUTCOME 3

Understand mathematics and statistics concepts used in Machine Learning

OUTCOME 4

Prepare, analyze, and explore real-world datasets

OUTCOME 5

Apply supervised and unsupervised Machine Learning algorithms

OUTCOME 6

Perform feature engineering and feature selection

OUTCOME 7

Train, evaluate, and optimize Machine Learning models

OUTCOME 8

Apply hyperparameter tuning techniques

OUTCOME 9

Understand neural networks and Deep Learning

OUTCOME 10

Apply fundamental Natural Language Processing techniques

OUTCOME 11

Understand fundamental Computer Vision concepts

OUTCOME 12

Understand Generative AI and Large Language Model concepts

OUTCOME 13

Develop an end-to-end AI/ML project

Skills You'll Gain

Practical, job-ready skills

Python for AI/ML Data Analysis Exploratory Data Analysis Data Preprocessing Machine Learning Algorithms Supervised Learning Unsupervised Learning Feature Engineering Feature Selection Model Evaluation Hyperparameter Optimization Deep Learning Natural Language Processing Computer Vision Generative AI Large Language Model Fundamentals AI/ML Project Development
Career Outcomes

Where this can take you

Step 1

AI/ML Engineer

Develop and apply Artificial Intelligence and Machine Learning solutions for real-world applications.

Step 2

Machine Learning Engineer

Build, train, evaluate, and optimize Machine Learning models.

Step 3

AI Developer

Develop practical AI-powered applications and solutions.

Step 4

Data Scientist

Apply data analysis and Machine Learning techniques to solve business problems.

Step 5

AI Analyst

Analyze data and support AI-driven decision-making.

Step 6

Junior ML Developer

Develop foundational Machine Learning models and applications.

Curriculum

Course modules

1
Module 1 – Python for Artificial Intelligence & Machine Learning
2
Module 2 – Mathematics & Statistics for Machine Learning
3
Module 3 – Data Analysis, Preprocessing & Exploratory Data Analysis
4
Module 4 – Supervised Learning Algorithms
5
Module 5 – Unsupervised Learning & Clustering
6
Module 6 – Feature Engineering & Feature Selection
7
Module 7 – Model Evaluation, Optimization & Hyperparameter Tuning
8
Module 8 – Neural Networks & Deep Learning
9
Module 9 – Natural Language Processing Fundamentals
10
Module 10 – Computer Vision Fundamentals
11
Module 11 – Generative AI & Large Language Model Fundamentals
12
Module 12 – End-to-End AI/ML Capstone Project
How You'll Learn

Format & delivery

✓ Live Instructor-Led Online Sessions
✓ Interactive Demonstrations
✓ Python-Based Practical Exercises
✓ Hands-on Machine Learning Labs
✓ Real-World Case Studies
✓ Guided AI/ML Projects
✓ Deep Learning Exercises
✓ NLP and Computer Vision Activities
✓ Generative AI Demonstrations
✓ Instructor Q&A Sessions
✓ Project-Based Learning
✓ Final Capstone Project
Assessment & Certification

How you're assessed

Module-Based Knowledge Checks
Practical AI/ML Exercises
Hands-on Machine Learning Assessments
Project-Based Assessment
End-to-End Capstone Project Assessment
Final Course Assessment
Certificate of Completion upon Successful Completion
Is This Course For You?

Who should attend

  • AI and Machine Learning beginners
  • Aspiring AI professionals
  • Aspiring Machine Learning Engineers
  • Data Analysts
  • Data Professionals
  • Software Developers
  • IT Professionals
  • Students interested in Artificial Intelligence and Machine Learning
  • Professionals transitioning into AI/ML careers
  • Professionals seeking practical AI/ML skills