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Artificial Intelligence

Artificial Intelligence Training Course

Typing on keyboard with AI robot and digital interface – AI Online Training
Edoxi’s 60-Hour Artificial Intelligence (AI) Course builds practical skills in Python, Machine Learning, Deep Learning, and NLP through expert-led, hands-on training. Aligned with AI CERTs certification, the program develops relevant technical and applied AI capabilities. Training is available in live online sessions and customised corporate programs. Develop practical AI expertise with Edoxi and prepare for the next generation of work. 
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 for AI
Build a strong foundation in Python and learn essential libraries such as NumPy, Pandas, and scikit-learn for AI and machine learning applications.
Data Analysis & Visualisation
Learn to clean, analyse, and visualise data using Python. Perform exploratory data analysis and identify meaningful patterns and insights.
Machine Learning
Understand supervised and unsupervised learning. Build and evaluate regression, classification, and clustering models using real-world datasets.
Deep Learning
Learn the fundamentals of neural networks and deep learning, including CNNs and their applications in modern AI solutions.
Generative AI & LLMs
Explore Generative AI, Large Language Models, embeddings, and practical applications such as content generation, summarisation, and AI-powered solutions.
Prompt Engineering
Develop effective prompting techniques to get accurate, relevant, and consistent results from modern AI tools and LLMs.
AI Agents & Automation
Understand how AI agents work and learn to create intelligent workflows using AI, automation, and no-code or low-code platforms.
AI APIs & Applications
Learn how to connect AI models and services through APIs and work with common data formats such as JSON and CSV.

About Edoxi’s Artificial Intelligence Online Course

This 60-hour Artificial Intelligence Course is designed for beginners, IT professionals, and business professionals looking to build practical, job-ready AI skills. The AI course covers Python, Machine Learning, Deep Learning, Generative AI, LLMs, Prompt Engineering, AI Agents, and No-Code AI Automation.

The AI online course is suitable for beginners with no coding experience and professionals looking to upskill and reskill. Through live online sessions, practical exercises, and hands-on projects, participants learn to apply AI tools and technologies to real-world business and technical challenges. Flexible weekday and weekend schedules are available, along with customised corporate AI training for organisations.

Edoxi also offers specialised AI training in Generative AI, Prompt Engineering, AI for HR, Marketing, Finance, Sales, Microsoft 365 Copilot, AI Automation, AI Agents, AI Governance, Responsible AI, and AI for Managers and Business Leaders. Learners and organisations can customise the AI Training according to their needs and goals.

Enrol today and gain the practical AI skills you need to stay ahead in the future of work.

Customised AI Training for Professionals and Corporates

We offer a selection of AI courses for professionals, teams, and technical learners. Compare duration and delivery format to find the right fit.

AI Courses Duration Corporate Days Delivery Mode Certificate
Generative AI for Professionals 24 hours 3 Days Online/Selected hotel/client premises AICERT
AI with Python (Machine Learning) 60 hours 5 Days Online/Selected hotel/client premises AICERT
Prompt Engineering for Professionals 8–12 hours 2 Days Online / No coding/Selected hotel/client premises AICERT
AI for HR & Recruitment 1 day 1 Day Online / No coding/Selected hotel/client premises AICERT
Microsoft 365 Copilot for Teams 1–2 days 2 Days Online / No coding/Selected hotel/client premises Edoxi completion certificate
AI for Marketing Teams 1–2 days 2 Days Online / No coding/Selected hotel/client premises Edoxi completion certificate
AI for Finance & Accounting 1–2 days 2 Days Online/Selected hotel/client premises Edoxi completion certificate
AI for Sales Teams 1–2 days 2 Days Online / No coding/Selected hotel/client premises Edoxi completion certificate
No-Code AI Automation for Business 2 days 2 Days Online / Low-code/Selected hotel/client premises Edoxi completion certificate
Building AI Agents & Custom GPTs 2 days 2 Days Online/Selected hotel/client premises Edoxi completion certificate
AI for Data & Reporting 12–16 hours 3 Days Online/Selected hotel/client premises Edoxi completion certificate
AI Content & Media Creation 2 days 2 Days Online / No coding/Selected hotel/client premises Edoxi completion certificate
Responsible AI & Safe Use ½–1 day 1 Day Online / No coding/Selected hotel/client premises Edoxi completion certificate
AI Governance & Policy 1 day 1 Day Online/Selected hotel/client premises Edoxi completion certificate
AI for Managers & Business Leaders 1 day 1 Day Online/Selected hotel/client premises Edoxi completion certificate

 

Key Features of Edoxi's AI Training

Flexible Learning Options

Choose live online training with flexible weekday and weekend schedules, or opt for customised corporate training.

Hands-On AI Projects

Work on practical projects covering machine learning, Generative AI, automation, and AI applications to build job-ready skills.

Expert-Led Training

Learn from experienced AI trainers through interactive sessions, demonstrations, coding exercises, and real-world use cases.

Comprehensive Learning Resources

Access structured course materials, presentations, practical exercises, and supporting resources for continued learning.

Practical AI Tools & Technologies

Gain hands-on experience with Python, Jupyter Notebook, machine learning libraries, Generative AI tools, LLMs, and AI automation platforms.

Assessment & Certification

Complete the post-course assessment and receive an Edoxi course completion certificate to validate your learning and skills.

Who Can Join Our AI Online Course?

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.

Request Course Information

    Artificial Intelligence With Python Course Modules

    Module 1: Introduction to Python

    • Chapter1.1: 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(numbers, strings, booleans)
      • 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, Elif)
      • Lesson 3.1.2: Breaking and continuing loop execution

    • Chapter 3.2: Loops and Iteration

      • Lesson 3.2.1: Looping structures (for, 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 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, 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, attributes)
      • Lesson 7.2.2: 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 Serialization

    • Chapter 8.1: File Handling

      • Lesson 8.1.1: Reading and writing data from/to files

    • Chapter 8.2: Data Serialization

      • Lesson 8.2.1: Serialization and deserialization of objects (pickle, JSON, CSV)
      • Lesson 8.2.2: Working with CSV and JSON 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 AI
      • Lesson 12.1.2: Types of AI: Narrow AI vs General AI

    • Chapter 12.2: Industry Applications

      • Lesson 12.2.1: AI applications in various industries
    Module 13: Introduction to Machine Learning

    • Chapter 13.1: ML 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 13.1.1: Importance of data in AI
      • Lesson 13.1.2: Data cleaning and preprocessing techniques
      • Lesson 13.1.3: 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 Model
    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 the Classification Model
    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 NLP
      • Lesson 17.1.2: Types of NLP

    • Chapter 17.2: Implementation

      • Lesson 17.2.1: Classical vs Deep Learning Model
      • 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 Network

    Download AI Course Brochure

    Projects and Case Studies in the Artificial Intelligence Online Course

    Edoxi’s AI Online Course focuses on hands-on learning through practical projects and real-world use cases. Participants apply AI concepts to build solutions using Python, Machine Learning, Generative AI, and modern AI tools.

    Projects

    • House Price Prediction

      Build a machine learning model to predict property prices using data preprocessing, regression, and model evaluation techniques.

    • Customer Segmentation

      Use clustering algorithms to analyse customer behaviour and create meaningful customer segments from real-world datasets.

    • Image Classification

      Develop a deep learning model using CNNs to classify images and understand practical computer vision applications.

    • Generative AI Application

      Build a practical solution using Generative AI and LLMs for tasks such as content generation, summarisation, or question answering.

    • AI Automation & Agents

      Create an AI-powered workflow or agent that uses AI tools to automate a multi-step business task.

    Case Studies

    • AI-Driven Demand Forecasting

      Explore how AI and machine learning can be applied to predict product demand, optimise inventory, and support data-driven business decisions.

    Artificial Intelligence Course Outcomes and Career Opportunities

    Edoxi’s Artificial Intelligence Online Course helps you develop practical skills in Python, Machine Learning, Deep Learning, Generative AI, LLMs, Prompt Engineering, and AI automation. By completing the training, you will be able to

    Course Outcome Image
    Apply AI technologies to real-world business and technical challenges.
    Analyse and prepare data using Python, Pandas, and NumPy.
    Build, test, and evaluate machine learning and AI models.
    Work with Generative AI, LLMs, Prompt Engineering, and AI tools.
    Develop AI-powered workflows, automations, and intelligent agents.
    Strengthen analytical, problem-solving, and AI implementation skills.

    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 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

    • Enquire & Enrol in Edoxi’s AI Online Training Course.
    • Attend our expert-led AI with Python Training
    • Complete the Projects and Post-Course Assessment
    • Get an AI Certification from Edoxi
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    Do You Want to be a Certified Professional in AI with Python?

    Join Edoxi’s Artificial Intelligence Course

    Why Choose Edoxi for an AI Training Course?

    Edoxi is considered one of the top AI training institutes, offering a practical and career-focused AI learning experience. Here are some reasons why you should choose us for your training needs

    Expert-Led Training

    Learn from experienced trainers who combine technical knowledge with practical industry insights and real-world applications.

    Live & Interactive Learning

    Participate in instructor-led sessions, discussions, demonstrations, and interactive activities that make complex AI concepts easier to understand.

    Flexible Training Options

    Choose schedules that fit your commitments, with weekday and weekend options available for individuals and customised programs for organisations.

    Beginner-Friendly Approach

    Start with the fundamentals and progress at a comfortable pace, making the training suitable for learners from different technical backgrounds.

    Career-Focused Guidance

    Gain practical guidance on applying AI skills to professional roles, workplace challenges, and emerging career opportunities.

    Global Learning Experience

    Learn with a training provider serving professionals and organisations across multiple industries and locations worldwide.

    Corporate AI Training

    Organisations can access customised AI programs aligned with their teams’ roles, business objectives, and AI adoption requirements.

    Learning Support Beyond the Classroom

    Continue developing your skills with access to learning resources and guidance that support your professional growth after training.

    students-image

    Edoxi is Recommended by 95% of our Students

    Locations Where Edoxi Offers AI Course

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

    FAQ

    Who is this AI course for?
    This course is designed for beginners, professionals, students, and career switchers who want practical AI skills. No prior AI experience is required for the beginner track.
    Do I need a technical background or coding knowledge?
    No. The beginner modules start from the basics. Intermediate/advanced tracks assume some familiarity with Python or basic programming.
    What are the prerequisites?
    • Basic computer literacy
    • Willingness to practice regularly
    • (Optional) Familiarity with Python for technical tracks
    What will I learn in this AI course?

    You’ll learn AI fundamentals, generative AI, prompt engineering, practical applications (content, automation, data analysis), and how to use popular tools like ChatGPT, Gemini, and others in real workflows. Advanced tracks cover machine learning basics and building simple models.

    How long does the course take to complete?

    Most learners finish the core modules in 4–8 weeks at 4–6 hours per week. You can go faster or slower since it’s self-paced.

    Is the course self-paced or live?

    It is primarily self-paced with recorded lessons, hands-on projects, and optional live Q&A or community sessions.

    What tools and software will I need?

    A computer with internet access. Most tools used (ChatGPT, free AI platforms, Google Colab, etc.) are free or have free tiers. We guide you on setup.

    Will I get a certificate?

    Yes. You’ll receive a certificate of completion after finishing the required modules and projects. It can be shared on LinkedIn and your resume.

    How will this course help my career?

    You’ll gain practical AI skills that employers increasingly look for: prompt engineering, generative AI productivity, and AI literacy. Many learners use these skills for promotions, freelancing, or transitioning into AI-related roles.

    Is this course enough to get a job in AI?

    It gives you a strong foundation and portfolio projects. For specialised AI engineering or data science roles, you may need additional advanced study and experience. Many non-technical professionals use it successfully for AI-augmented roles.

    Is there any support if I get stuck?

    Yes. You’ll have access to community forums, discussion groups, and (depending on the plan) mentor or instructor support.

    Can I access the course on mobile?

    Yes. The platform works on desktop, tablet, and mobile browsers.

    How is this different from free YouTube videos or other AI courses?

    This AI course provides structured learning paths, hands-on projects, curated tools and prompts, progress tracking, and a certificate, not just scattered videos.

    Do you cover the latest AI tools and updates?

    Yes. Content is regularly updated to include current tools, best practices in prompt engineering, and emerging applications of generative AI.