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Artificial Intelligence Training Course

Typing on keyboard with AI robot and digital interface – AI Online Training
Edoxi's 60-hour Online Artificial Intelligence Course helps you build real Python, machine learning and deep learning skills from anywhere in the world. Work on hands-on projects, master NLP and neural networks, and earn a globally recognised AI certification. Advance your career in data science, ML engineering or automation, wherever you are based. Enrol in Edoxi's AI certification course online today! 
Course Duration
60 Hours
Corporate Days
10 Days
Learners Enrolled
150+
Modules
18
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Course Rating
4.9
star-rating-4.9
Mode of Delivery
Online
Accredited by
AI Certs accreditation partner

What Do You Learn from Edoxi's Artificial Intelligence Training

Python Programming
Build your AI foundation with Python, data structures, object-oriented programming, NumPy, and Pandas.
Data Analysis
Work with data using Pandas, perform exploratory analysis, and create clear visualisations with Matplotlib.
Machine Learning
Apply supervised learning for regression and classification and explore unsupervised learning with clustering algorithms.
Natural Language Processing
Learn core NLP concepts and apply classical and deep learning approaches to language-based AI tasks.
Neural Networks
Understand artificial neural networks and convolutional neural networks for practical AI applications.
AI Model Development
Create, test, and apply AI models using Python and practical development tools.

About Our Online Artificial Intelligence Training Course


Edoxi's 60-hour Online Artificial Intelligence Course helps you build real, job-relevant AI skills from anywhere in the world. As a leading AI training institute, we design this course for beginners, IT professionals and career changers alike. You learn Python programming, machine learning and deep learning through hands-on projects, not just theory.


Our curriculum covers 18 structured modules, including neural networks, NLP and data analysis with Pandas and NumPy. You work on real case studies and build a portfolio that showcases your skills to employers. Our AI course also suits teams: we offer flexible corporate training for organisations that want to upskill staff together. 


By the end, you sit a post-course assessment and receive Edoxi's course completion certificate. Adding AI Certification to your portfolio can open doors to careers such as Data Analyst, ML Engineer, NLP Engineer and AI Research Assistant. 


Ready to start your AI journey? Check our course fee and flexible batch timings below, or contact our team for more details on enrolment and corporate training options. Edoxi supports you at every step, from your first Python line to your final certification.

Key Features of Edoxi's Artificial Intelligence Course

Personalised Learning Options

Choose from our one-on-one sessions for focused, individual attention, or join our small group of 4-6 learners for interactive online learning.

Practical Project Portfolio

Work on our mini-projects in data handling, machine learning and neural networks. You build a strong portfolio that showcases your skills to employers.

Comprehensive Study Materials

Access our detailed presentations and PDF notes anytime, from anywhere. These support your learning both during live sessions and in your own time.

Live Online Training

Learn from our expert trainers through live, interactive online classes. You get the same quality of mentorship no matter where you are based.

Interactive Coding Environment

Practise on our industry-standard tools like Jupyter Notebook and Google Colab. This gives you real, hands-on coding experience from day one.

Professional Assessment & Certification

Complete our post-course assessment and receive Edoxi's course completion certificate. This credential validates your AI skills to employers worldwide.

Who Can Join Our AI Training?

Fresh Graduates & STEM Professionals

Recent graduates in Computer Science, IT, Engineering, Mathematics, or any related discipline.

Software Developers & IT Professionals

Programming professionals seeking to expand their expertise into AI and machine learning.

Business & Analytics Professionals

Business analysts, data analysts, and professionals from finance or healthcare sectors.

Career Transitioners

Professionals from any background with analytical thinking abilities and basic familiarity with programming concepts.

Corporate Teams

Organisations looking to upskill their technical teams with practical AI knowledge and Python programming capabilities.

Self-Learners & Tech Enthusiasts

Individuals passionate about emerging technologies and automation.

Artificial Intelligence Course Modules

Module 1: Introduction to Python
  • Chapter 1.1: Python Fundamentals

    • Lesson 1.1.1: Overview of Python and Its Features
    • Lesson 1.1.2: Setting Up the Python Development Environment
  • Chapter 1.2: Programming Basics

    • Lesson 1.2.1: Python Syntax and Basic Structure
    • Lesson 1.2.2: Writing and Running Python Programs
Module 2: Variables, Data Types and Operators
  • Chapter 2.1: Working with Data Types

    • Lesson 2.1.1: Working with Variables and Data Types
    • Lesson 2.1.2: Type Conversion and Casting
  • Chapter 2.2: Understanding Operators

    • Lesson 2.2.1: Arithmetic, Assignment, Comparison and Logical Operators
Module 3: Control Flow and Loops
  • Chapter 3.1: Conditional Programming

    • Lesson 3.1.1: Conditional Statements: If, Else and Elif
    • Lesson 3.1.2: Breaking and Continuing Loop Execution
  • Chapter 3.2: Loops and Iteration

    • Lesson 3.2.1: Looping Structures: For and While
    • Lesson 3.2.2: Working with Lists and Iterating Over Them
Module 4: Functions and Modules
  • Chapter 4.1: Function Fundamentals

    • Lesson 4.1.1: Creating and Invoking Functions
    • Lesson 4.1.2: Function Parameters and Return Values
  • Chapter 4.2: Module Management

    • Lesson 4.2.1: Variable Scope and the Global Keyword
    • Lesson 4.2.2: Importing and Using Modules in Python
Module 5: Strings and File Handling
  • Chapter 5.1: String Operations

    • Lesson 5.1.1: Manipulating Strings: Concatenation, Slicing and Formatting
  • Chapter 5.2: File Operations

    • Lesson 5.2.1: Reading from and Writing to Files
    • Lesson 5.2.2: Opening, Closing and Deleting Files
    • Lesson 5.2.3: File Permissions and Error Handling
Module 6: Data Structures
  • Chapter 6.1: Basic Data Structures

    • Lesson 6.1.1: Working with Lists, Tuples and Dictionaries
    • Lesson 6.1.2: Accessing and Modifying Elements in Data Structures
  • Chapter 6.2: Advanced Data Structure Operations

    • Lesson 6.2.1: Iterating and Manipulating Data Structures
    • Lesson 6.2.2: Working with Sets and Frozen Sets
Module 7: Object-Oriented Programming (OOP) in Python
  • Chapter 7.1: OOP Concepts

    • Lesson 7.1.1: Introduction to OOP Concepts: Classes, Objects, Methods and Attributes
    • Lesson 7.1.2: Creating and Using Classes in Python
  • Chapter 7.2: OOP Implementation

    • Lesson 7.2.1: Encapsulation, Inheritance and Polymorphism
    • Lesson 7.2.2: Working with Objects and Class Relationships
Module 8: File Input/Output (I/O) and Serialisation
  • Chapter 8.1: File Handling

    • Lesson 8.1.1: Reading and Writing Data to and from Files
  • Chapter 8.2: Data Serialisation

    • Lesson 8.2.1: Serialisation and Deserialization of Objects
    • Lesson 8.2.2: Working with Pickle, JSON and CSV Files
Module 9: Regular Expressions
  • Chapter 9.1: Regex Basics

    • Lesson 9.1.1: Introduction to Regular Expressions
    • Lesson 9.1.2: Using Regular Expressions for Pattern Matching and Search
  • Chapter 9.2: Text Processing

    • Lesson 9.2.1: Validating and Manipulating Text Using Regular Expressions
Module 10: Introduction to Python Libraries and Frameworks
  • Chapter 10.1: Python Ecosystem

    • Lesson 10.1.1: Overview of Popular Python Libraries and Frameworks
  • Chapter 10.2: Applications

    • Lesson 10.2.1: Introduction to Data Analysis, Scientific Computing and Web Development with Python
Module 11: Working with Data
  • Chapter 11.1: Data Analysis Fundamentals

    • Lesson 11.1.1: Introduction to Data Analysis with Pandas
    • Lesson 11.1.2: DataFrames: Creation, Manipulation and Analysis
  • Chapter 11.2: Data Visualization

    • Lesson 11.2.1: Basic Data Visualization with Matplotlib
Module 12: Introduction to Artificial Intelligence
  • Chapter 12.1: AI Fundamentals

    • Lesson 12.1.1: Definition and History of Artificial Intelligence
    • Lesson 12.1.2: Types of AI: Narrow AI and General AI
  • Chapter 12.2: Industry Applications

    • Lesson 12.2.1: AI Applications Across Various Industries
Module 13: Introduction to Machine Learning
  • Chapter 13.1: Machine Learning Basics

    • Lesson 13.1.1: Basics of Machine Learning
    • Lesson 13.1.2: Supervised and Unsupervised Learning
    • Lesson 13.1.3: Data Preparation and Preprocessing
  • Chapter 13.2: Data Processing

    • Lesson 13.2.1: Importance of Data in AI
    • Lesson 13.2.2: Data Cleaning and Preprocessing Techniques
    • Lesson 13.2.3: Handling Missing Values, Normalization and Standardization
Module 14: Supervised Learning – Regression
  • Chapter 14.1: Basic Regression Techniques

    • Lesson 14.1.1: Simple Linear Regression
    • Lesson 14.1.2: Multiple Linear Regression
    • Lesson 14.1.3: Polynomial Regression
  • Chapter 14.2: Advanced Regression

    • Lesson 14.2.1: Decision Tree Regression
    • Lesson 14.2.2: Random Forest Regression
    • Lesson 14.2.3: Regression Model Selection
    • Lesson 14.2.4: Evaluating Regression Models
Module 15: Supervised Learning – Classification
  • Chapter 15.1: Classification Fundamentals

    • Lesson 15.1.1: Logistic Regression
    • Lesson 15.1.2: K-Nearest Neighbour (k-NN)
  • Chapter 15.2: Model Evaluation

    • Lesson 15.2.1: Classification Model Selection
    • Lesson 15.2.2: Evaluating Classification Models
Module 16: Unsupervised Learning – Clustering
  • Chapter 16.1: Clustering Basics

    • Lesson 16.1.1: Introduction to Clustering
  • Chapter 16.2: Clustering Techniques

    • Lesson 16.2.1: K-Means Clustering
    • Lesson 16.2.2: Hierarchical Clustering
Module 17: Natural Language Processing (NLP)
  • Chapter 17.1: NLP Fundamentals

    • Lesson 17.1.1: Introduction to Natural Language Processing
    • Lesson 17.1.2: Types of NLP
  • Chapter 17.2: NLP Implementation

    • Lesson 17.2.1: Classical and Deep Learning Models
    • Lesson 17.2.2: Natural Language Processing in Python
Module 18: Deep Learning
  • Chapter 18.1: Neural Networks

    • Lesson 18.1.1: Artificial Neural Networks
  • Chapter 18.2: Advanced Neural Networks

    • Lesson 18.2.1: Convolutional Neural Networks (CNNs)

Download AI Course Brochure

Projects and Case Studies in the Artificial Intelligence Online Course

Edoxi's online Artificial Intelligence Course includes the following projects and case studies:

Projects

  • Housing Price Prediction

    Build a machine learning model in Python to forecast housing prices from historical data. You strengthen your skills in data preprocessing, regression and model evaluation.

  • Customer Segmentation through Clustering

    Use k-means clustering to segment customers. You analyse real-world datasets to classify buyers by purchasing behaviour.

  • Image Classification with Deep Learning

    Design a CNN to classify images. You gain practical, hands-on experience with TensorFlow and Keras.

Case Studies

  • AI-Driven Retail Demand Forecasting

    A retail company used AI models built by an Edoxi learner to predict product demand accurately. This cut overstock and understock issues by 20%, boosting supply chain efficiency.

Artificial Intelligence Course Outcomes and Career Opportunities

Edoxi's Online Artificial Intelligence Course helps you develop a solid foundation in Python programming and fundamental AI principles, including machine learning, deep learning and natural language processing. Upon completing Edoxi's AI training, you learn to:

Course Outcome Image
Apply AI techniques to solve real-world problems effectively.
Analyse and manipulate data using essential libraries like Pandas and NumPy, vital for successful AI modelling.
Design, implement and assess AI models with popular frameworks such as TensorFlow and PyTorch.
Enhance your critical thinking and problem-solving skills to address complex business challenges using AI solutions.
Prepare for careers in AI development, data analytics and machine learning engineering, combining technical expertise with industry insights.
Expect a salary that aligns with industry standards.

Career Opportunities After Completing AI Training

  • Data Analyst
  • Associate ML Engineer
  • Associate Data Analytics Developer
  • Associate NLP Engineer
  • AI Research Assistant
  • Junior Python Developer
  • Machine Learning Specialist
  • AI Business Analyst
  • Junior Data Scientist
  • AI Automation Specialist

AI Training Options

Live Online Training

  • 60-hour online AI training

  • Same curriculum and mentorship quality from your location

  • Choose between small groups (4-6 learners) or one-on-one sessions

  • Live demonstrations of Python coding and ML algorithms

  • Flexible scheduling for working professionals

Corporate Training

  • 8-10 days of comprehensive Corporate Training

  • Customised Learning (Digital/ Instructor-led)

  • Flexible Pricing Options

  • Enterprise Dashboards for Individuals and Teams

  • Learner Assistance and After-Support

  • Training can be delivered at a star hotel, at the client’s premises, or at Edoxi.

Do You Want a Customised Training for AI Course?

Get expert assistance in getting your AI Course customised!

How To Get Edoxi’s AI Certification?

Here’s a four-step guide to becoming a certified AI professional

Do You Want to be a Certified Professional in AI?

Join Edoxi’s Artificial Intelligence Course

Why Choose Edoxi for Online Artificial Intelligence Course?

Here are the compelling reasons to choose Edoxi for your AI certification course online.

Hands-On Project Learning

Every concept, from Python basics to advanced AI, becomes clear through our practical mini-projects in machine learning and neural networks.

Portfolio Development

Real exercises in data management and AI implementation help you build a strong portfolio using Jupyter Notebook, NumPy and Pandas.

Structured Learning Pathway

Our 18-module curriculum takes you from programming basics to advanced AI topics, step by step.

Targeted Career Preparation

Our coding sessions and problem-solving tasks prepare you for real job opportunities in the global AI industry.

Personalised IDE Setup Assistance

Our team guides you through setting up Google Colab and Jupyter Notebook, so you start coding with ease, regardless of your device or experience.

Industry-Standard Version Control Training

Our Git training covers best practices, including tracking changes and collaborating on projects efficiently.

Comprehensive Study Materials

Our curated resources give you coding exercises and real-world project examples to support your learning.

Ongoing Post-Course Guidance

Our team supports you with career advice and strategies to apply your AI skills beyond the classroom.

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Edoxi is Recommended by 95% of our Students

Meet Our Mentor

Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!

mentor-image

Tausifali Saiyed

Tausifali Saiyed is a Senior AI and Technology Professional with over 12 years of experience spanning Artificial Intelligence, Machine Learning, Deep Learning, Python application development, full-stack software engineering, and technology training. His broader expertise includes Java, PHP, MERN, mobile and web development, databases, and software engineering. Tausifali holds an MSC in Computer Science from the University of Greenwich, London, and a Bachelor of Engineering in Computer Engineering from Sardar Patel University, Vallabh Vidyanagar, India.

Tausifali has trained 500+ professionals and delivered corporate and academic training for organisations including Tech Mahindra, State Bank of India (SBI), and the Computer Society of India. He combines strong conceptual knowledge with hands-on experience, helping professionals apply AI and software engineering to real-world solutions. He leverages this expertise to deliver AI training, develop applications, drive AI transformation, and lead technology initiatives.

Locations Where Edoxi Offers AI Course

Here is the list of other major locations where Edoxi offers AI Course

FAQ

What is Edoxi’s Artificial Intelligence Course?
Edoxi’s Artificial Intelligence Course is a 60-hour online programme that helps you understand core AI concepts and apply them through practical learning. You explore machine learning, deep learning, data analysis, and real-world AI applications with guidance from an experienced trainer.
What are the prerequisites for joining Edoxi’s Artificial Intelligence Course?
You do not need a computer science or AI background to join Edoxi’s Artificial Intelligence Course. Basic computer knowledge and an interest in technology are enough to get started, as our training introduces the concepts progressively.
Can I join Edoxi’s AI Course without a technical background?
Yes, you can join Edoxi’s AI Course without prior technical experience. We introduce the fundamentals first, helping you gradually develop your understanding of Artificial Intelligence, machine learning, and related technologies.
Is Edoxi’s Artificial Intelligence Course available online for global learners?
Yes, Edoxi’s Artificial Intelligence Course is available through online instructor-led training for learners worldwide. You can attend sessions remotely, interact with your trainer, clarify your questions, and complete practical activities from your location.
What topics are covered in Edoxi’s Artificial Intelligence Course?
Edoxi’s Artificial Intelligence Course covers AI fundamentals, machine learning, deep learning, data analysis, neural networks, and practical AI applications. You also gain exposure to relevant tools and technologies used in AI projects.
Which tools and technologies do I learn in Edoxi’s AI Course?
You gain practical exposure to tools such as Python, Jupyter Notebook, NumPy, Pandas, and machine learning libraries. These tools help you work with data, build models, and understand how AI solutions are developed.
What practical projects can I complete during Edoxi’s Artificial Intelligence Course?
You work on practical activities involving data analysis, predictive modelling, machine learning, and neural networks. These projects help you connect theoretical concepts with practical AI applications and demonstrate your developing skills.
What certification do I receive after completing Edoxi’s AI Course?
After successfully completing the course and final assessment, you receive an Edoxi professional course certificate. You can use this certification alongside your skills and project experience to document your AI training.
How long is Edoxi’s Artificial Intelligence Course?
Edoxi’s Artificial Intelligence Course is 60 hours long. The online format gives you a convenient way to develop your AI skills while managing your work, studies, or other commitments.
Is Edoxi’s Artificial Intelligence Course suitable for working professionals?
Yes, the course is suitable for working professionals who want to build or strengthen their AI skills. Our online delivery allows you to learn remotely while developing knowledge that you can apply to your current or future role.
Can I learn Artificial Intelligence through Edoxi’s online AI certification course?
Yes, Edoxi’s online AI certification course combines structured learning with practical application. You develop your understanding of AI concepts, machine learning, data analysis, and AI technologies before completing the required assessment for certification.
How can Edoxi’s AI Course help me pursue a career in Artificial Intelligence?
Edoxi’s AI Course helps you build foundational knowledge in AI, machine learning, data analysis, and deep learning. You can use these skills to prepare for roles such as AI Engineer, Machine Learning Engineer, AI Developer, or Data Scientist, depending on your wider qualifications and experience.
What career opportunities can I explore after an Artificial Intelligence Course?
An Artificial Intelligence Course can help you develop skills relevant to roles such as AI Engineer, Machine Learning Engineer, Data Scientist, AI Developer, and AI Analyst. Your career opportunities depend on your existing qualifications, experience, technical skills, and portfolio.
What is the career scope of Artificial Intelligence globally?
Artificial Intelligence is used across industries such as finance, healthcare, technology, retail, manufacturing, and logistics. By completing Edoxi’s Artificial Intelligence Course, you can build relevant skills to explore AI-related opportunities in your local or international job market.
What is the average salary of Artificial Intelligence certified professionals?
The average salary of Artificial Intelligence certified professionals varies by country, job role, experience, industry, and technical specialisation. Your certification can strengthen your professional profile, while your overall skills, experience, qualifications, and location influence your earning potential.