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Artificial Intelligence Training Diploma – Master Machine Learning, Deep Learning & Generative AI
Build the skills to become an AI professional through a comprehensive diploma covering machine learning, deep learning, data science, generative AI, and AI model development. Gain hands-on experience with real-world projects, modern AI frameworks, and production-ready workflows while preparing for high-demand careers in artificial intelligence.
What You’ll Learn
By the end of this diploma, you will be able to:
- Understand artificial intelligence concepts and real-world applications.
- Prepare, clean, and analyse datasets professionally.
- Perform Exploratory Data Analysis (EDA).
- Build machine learning models using supervised and unsupervised learning.
- Evaluate and optimise AI models.
- Design and train deep learning models.
- Build neural networks using TensorFlow and PyTorch.
- Develop computer vision and natural language processing (NLP) applications.
- Understand Generative AI and Large Language Models (LLMs).
- Deploy AI models for real business applications.
- Build a professional AI project portfolio.
Course Features
- Instructor-Led Live Interactive Training
- Extensive Hands-on Coding Labs
- Real AI Projects
- Industry Case Studies
- Portfolio Development
- AI Career Roadmap
- Professional Code Reviews
- Career Guidance & Interview Preparation
- Certificate of Completion
- Updated Curriculum Aligned with the 2026 AI Industry
Course Requirements
- Basic Python programming knowledge.
- Basic mathematics and statistics knowledge.
- Laptop or desktop computer capable of running AI development environments.
- Stable Internet connection.
- Passion for Artificial Intelligence and Data Science.
Tools & Technologies
Students will gain practical experience using industry-standard AI tools and frameworks, including:
- Python
- Jupyter Notebook
- Google Colab
- Visual Studio Code
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- Hugging Face (Introduction)
- OpenAI APIs (Concepts)
- Git & GitHub
- Docker (Introduction)
- MLflow (Concepts)
Who Is This Course For?
This diploma is ideal for:
- Computer Science Students
- Software Developers
- Python Developers
- Data Analysts
- Data Scientists
- AI Enthusiasts
- Machine Learning Beginners
- Technology Professionals
- Engineers
- Career Changers interested in AI
Career Opportunities
After completing this diploma, learners can pursue roles such as:
- Artificial Intelligence Engineer
- Machine Learning Engineer
- AI Developer
- Data Scientist
- Data Analyst
- Computer Vision Engineer
- NLP Engineer
- AI Research Assistant
- MLOps Engineer (Foundation Level)
- AI Solutions Consultant
Industries
- Technology & Software Development
- Banking & Financial Services
- Healthcare & Medical AI
- Manufacturing
- Telecommunications
- E-commerce
- Retail
- Government
- Smart Cities
- Automotive & Autonomous Systems
Certifications Preparation
This diploma provides a strong technical foundation for internationally ognizedrecognised AI and machine learning certifications, including:
- Microsoft Azure AI Engineer Associate (AI-102)
- Microsoft Azure AI Fundamentals (AI-900)
- AWS Certified Machine Learning Engineer – Associate
- Google Professional Machine Learning Engineer
- TensorFlow Developer Learning Path
- Databricks Machine Learning Learning Path
Note: This diploma develops the practical knowledge required for AI careers but does not include official certification exam vouchers.
FAQs
Do I need programming experience?
Yes. Basic Python programming knowledge and fundamental mathematics are recommended.
Will I build real AI projects?
Yes. You’ll complete hands-on projects in machine learning, computer vision, NLP, business analytics, and AI automation.
Which AI frameworks will I learn?
You’ll work with Scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face, and other modern AI development tools.
Does the diploma include career preparation?
Yes. The programme includes portfolio development, interview preparation, and AI career guidance.
Will I receive a certificate?
Yes. Students who successfully complete the diploma receive a Sigma Hub Academy Certificate of Completion.
Curriculum
- 7 Sections
- 55 Lessons
- 60 Hours
Expand all sectionsCollapse all sections
- AI FundamentalsArtificial Intelligence Foundations7
- Module 2Data Preparation & Analytics7
- Module 3Machine Learning11
- Module 4Deep Learning & Neural Networks8
- Module 5Natural Language Processing & Generative AI8
- Module 6AI Deployment & MLOps Fundamentals7
- Module 7Hands-on AI Projects7





