Artificial Intelligence Programme Training

Name: Artificial Intelligence Training Program
Brand: EDOXI
Rating: 4.8/5 (95 reviews)

Artificial Intelligence training equips professionals with the ability to leverage AI tools and methodologies within their specific industries. Participants learn technologies like machine learning, natural language processing, and generative AI to automate tasks and enhance decision-making. Enrol now to advance your career and achieve your professional goals.

Course Duration

35 Hours

Corporate Days

5 Days

Learners Enrolled

9

Modules

8

Course Rating

4.8

Mode of Delivery

Online

Classroom

Certification by

Upcoming Batches

Start Date	Duration	Batch Type	Time	Mode	Price	Register
08-Nov-2026	5 DAYS	Corporate Batch	09:00 AM - 05:00 PM	Online	$4,000 USD	Register Now Please Submit Form to Register
13-Dec-2026	5 DAYS	Corporate Batch	09:00 AM - 05:00 PM	Classroom India (Mumbai / Jaipur)	$5,000 USD	Register Now Please Submit Form to Register

Customise Artificial Intelligence Programme for Corporate Training?

Select your preferred location and schedule — customised training tailored to your goals.

What Will You Learn from Edoxi's Artificial Intelligence Training

AI and Machine Learning Fundamentals

Understand the foundational concepts of artificial intelligence and machine learning, explore key algorithms, and develop the technical literacy needed to work confidently with AI tools and frameworks.

Data Preparation and Feature Engineering

Learn to collect, clean, preprocess, and transform data for AI model development, applying feature engineering techniques that improve model accuracy and generalisation across diverse datasets.

Supervised and Unsupervised Learning

Apply supervised learning algorithms including regression and classification, and explore unsupervised techniques such as clustering and dimensionality reduction to extract insights from structured datasets.

Deep Learning and Neural Networks

Explore artificial neural network architectures, build and train deep learning models using frameworks such as TensorFlow and Keras, and apply them to image recognition and NLP tasks.

Natural Language Processing and Generative AI

Develop NLP capabilities including text classification, sentiment analysis, and language modelling, and explore generative AI concepts including large language models and their practical applications.

AI Model Deployment and MLOps

Learn to deploy AI models into production environments using MLOps principles, monitor model performance, manage model versioning, and maintain AI systems across the full deployment lifecycle.

About Our Artificial Intelligence Training Course

Edoxi's Artificial Intelligence training is designed to equip technology professionals, data practitioners, and aspiring AI specialists with the comprehensive knowledge and applied skills needed to build, evaluate, and deploy artificial intelligence solutions. This program covers the full AI development lifecycle from foundational machine learning theory through to advanced deep learning and production deployment.

Participants will engage with a rich curriculum spanning machine learning algorithms, data preparation, neural networks, natural language processing, generative AI, computer vision, and MLOps. The program integrates hands-on coding exercises, applied project work, and real-world AI use cases that ensure participants can build functional AI systems and contribute meaningfully to AI-driven organisational initiatives.

Delivered by experienced AI practitioners and data science professionals, the programme is structured to build AI competency progressively and systematically. Whether you are transitioning into AI from a technology background or seeking to formalise and advance your existing AI knowledge, Edoxi's Artificial Intelligence Programme provides the structured learning pathway you need.

Enrol now to build the AI expertise that drives innovation, career advancement, and organisational transformation.

Key Features of Edoxi's Artificial Intelligence Training

Comprehensive AI Development Curriculum

The programme covers the full AI development spectrum from machine learning fundamentals and data preparation through to deep learning, NLP, generative AI, and production model deployment.

Experienced AI Practitioner Trainers

Learn from qualified AI practitioners and data science professionals who bring extensive real-world AI project experience and deep technical expertise into every training session delivered.

Hands-On Coding and Project Work

Engage in practical coding exercises, model building projects, and applied AI use cases that develop genuine AI development competencies directly applicable in professional technology roles.

Generative AI and NLP Coverage

The programme dedicates focused attention to natural language processing, large language models, and generative AI, reflecting the most in-demand and rapidly evolving areas of modern AI practice.

Flexible Training Delivery Options

Choose from online, classroom, or corporate training formats designed to accommodate technology professionals and organisational teams with varying schedules and AI development requirements.

Recognised Certificate of Completion

Receive an Edoxi Certificate of Completion that validates your Artificial Intelligence Programme training and strengthens your professional profile in competitive AI and data science career markets.

Who Can Join Our Artificial Intelligence Course?

Software Developers and Engineers

Software engineers and developers who want to transition into AI development and build practical machine learning, deep learning, and NLP skills for real-world AI project delivery.

Data Analysts and Data Scientists

Data analysts and aspiring data scientists looking to deepen their AI and machine learning competency, expand into deep learning, and develop model deployment and MLOps capabilities.

Technology and IT Professionals

IT professionals and technology practitioners seeking to build foundational and applied AI skills and contribute to AI-driven projects and digital transformation initiatives within their organisations.

AI Enthusiasts and Career Changers

Professionals from non-technical backgrounds with strong quantitative skills who want to transition into artificial intelligence and build a comprehensive, applied AI development skill set.

Research and Academic Professionals

Researchers and academics working in STEM disciplines who want to apply AI and machine learning methodologies to their research domains and develop practical AI implementation capabilities.

Product Managers and Technical Leaders

Product managers and technical leaders overseeing AI product development who want to deepen their AI technical understanding and better guide AI engineering teams and project delivery.

Artificial Intelligence Programme Course Modules

Module 1: AI and Machine Learning Foundations

Chapter 1.1: Introduction to Artificial Intelligence and the Machine Learning Landscape
- Lesson 1.1.1: History of AI, Key Milestones, and the Modern AI Ecosystem
- Lesson 1.1.2: Types of Machine Learning Including Supervised, Unsupervised, and Reinforcement
- Lesson 1.1.3: Python for AI and Setting Up the AI Development Environment

Module 2: Data Collection, Preparation, and Feature Engineering

Chapter 2.1: Data Processing and Feature Engineering for AI Model Development
- Lesson 2.1.1: Data Collection, Data Quality Assessment, and Data Cleaning Techniques
- Lesson 2.1.2: Exploratory Data Analysis, Visualisation, and Statistical Summary Methods
- Lesson 2.1.3: Feature Engineering, Feature Selection, and Data Transformation for AI Models

Module 3: Supervised Learning Algorithms and Model Evaluation

Chapter 3.1: Regression, Classification, and Model Performance Assessment
- Lesson 3.1.1: Linear and Logistic Regression for Prediction and Classification Tasks
- Lesson 3.1.2: Decision Trees, Random Forests, and Gradient Boosting Algorithms
- Lesson 3.1.3: Model Evaluation Metrics Including Accuracy, Precision, Recall, F1, and AUC-ROC

Module 4: Unsupervised Learning and Dimensionality Reduction

Chapter 4.1: Clustering, Association, and Dimensionality Reduction Techniques
- Lesson 4.1.1: K-Means Clustering, Hierarchical Clustering, and DBSCAN Algorithms
- Lesson 4.1.2: Principal Component Analysis (PCA) and t-SNE for Dimensionality Reduction
- Lesson 4.1.3: Association Rule Mining and Anomaly Detection Techniques in AI

Module 5: Deep Learning and Neural Network Architectures

Chapter 5.1: Building and Training Deep Neural Networks for Complex AI Tasks
- Lesson 5.1.1: Artificial Neural Networks, Activation Functions, and Backpropagation
- Lesson 5.1.2: Convolutional Neural Networks (CNNs) for Image Recognition and Computer Vision
- Lesson 5.1.3: Recurrent Neural Networks (RNNs), LSTMs, and Sequence Modelling Tasks

Module 6: Natural Language Processing and Generative AI

Chapter 6.1: NLP Techniques, Transformer Models, and Generative AI Applications
- Lesson 6.1.1: Text Preprocessing, Tokenisation, and NLP Pipeline Development
- Lesson 6.1.2: Transformer Architectures, BERT, and Large Language Model Fundamentals
- Lesson 6.1.3: Generative AI Applications Including Text Generation, Summarisation, and Prompt Engineering

Module 7: Computer Vision and AI Application Development

Chapter 7.1: Building Computer Vision Solutions and End-to-End AI Applications
- Lesson 7.1.1: Image Classification, Object Detection, and Semantic Segmentation Techniques
- Lesson 7.1.2: Transfer Learning and Pre-Trained Models for Computer Vision Applications
- Lesson 7.1.3: Building End-to-End AI Applications Using Python and Deep Learning Frameworks

Module 8: AI Model Deployment, MLOps, and Responsible AI

Chapter 8.1: Production Deployment, Model Monitoring, and AI Ethics in Practice
- Lesson 8.1.1: MLOps Principles, CI/CD for AI, and Model Versioning and Registry Management
- Lesson 8.1.2: Deploying AI Models Using APIs, Cloud Platforms, and Containerisation Tools
- Lesson 8.1.3: Responsible AI Principles Including Fairness, Explainability, and Bias Mitigation

Download Artificial Intelligence Course Brochure

Artificial Intelligence Programme Course Outcome and Career Opportunities

By completing Edoxi's Artificial Intelligence Training, you will build the skills to advance your career.

Build and evaluate supervised and unsupervised machine learning models using Python and leading AI frameworks to solve classification, regression, and clustering problems effectively.

Design and train deep neural network architectures including CNNs and RNNs for image recognition, computer vision, and sequence modelling tasks across diverse AI applications.

Develop NLP pipelines, apply transformer models and large language models, and build generative AI applications including text generation, summarisation, and prompt engineering solutions.

Prepare, clean, and engineer features from raw datasets to improve AI model accuracy, generalisation, and performance across structured and unstructured data sources effectively.

Deploy AI models into production environments using MLOps principles, manage model versioning and monitoring, and maintain AI systems across the full operational deployment lifecycle.

Apply responsible AI principles including fairness, explainability, and bias mitigation to ensure ethical and transparent AI development and deployment across organisational AI initiatives.

Job Roles After Completing the Artificial Intelligence Training

AI Engineer
Machine Learning Engineer
Data Scientist
NLP Engineer
Computer Vision Engineer
AI Solutions Architect

Artificial Intelligence Training Options

Online Training

40-hour online Artificial Intelligence Programme course
Virtual expert-led instruction
Interactive exercises and feedback sessions
Real-time demonstrations and Q&A
Flexible scheduling for working professionals

Classroom Training

Face-to-face training at Edoxi training centre
Hands-on workshops with real-world scenarios
Peer learning in a structured classroom environment
Access to printed study materials and reference guides
Direct trainer interaction for personalised guidance

Corporate Training

5-day corporate Artificial Intelligence Programme for organisational teams
Content tailored to your organisation's specific needs
Delivered at hotel, client premises, or Edoxi centre
Group-focused practical exercises and case studies
All logistics covered including venue, food, and refreshments

How to Get a Artificial Intelligence Programme Certification?

Here's a four-step guide to becoming a certified professional.

Enrol in Edoxi's Artificial Intelligence Programme Course.
Attend expert-led Artificial Intelligence Programme training sessions.
Complete the hands-on projects and course assessments.
Earn your Edoxi Certificate of Completion for Artificial Intelligence Programme.

Become Certified in Artificial Intelligence Programme?

Join Edoxi's Artificial Intelligence Programme Course