Data Science, Machine Learning & AI Engineering Diploma
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Machine Learning & Intelligent Automation
Data Science, Machine Learning & AI Engineering Diploma
The Data Science, Machine Learning & AI Engineering Diploma is a comprehensive career-oriented training program designed to equip learners with the technical and analytical skills required to succeed in the rapidly growing fields of Artificial Intelligence, Machine Learning, and … Learn More
What you'll cover
Online price
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This course includes
- 120 hours of training
- 3 delivery formats
- English & Arabic
- Accredited certificate
What you get
What's Included
Projects
Hands-on projects to apply your learning in real-world scenarios and build your portfolio
On-Job Training
Real-world experience and practical application with industry experts and mentors
Certificate of completion
Industry-recognized certification upon successful completion of the course
The Data Science, Machine Learning & AI Engineering Diploma is a comprehensive career-oriented training program designed to equip learners with the technical and analytical skills required to succeed in the rapidly growing fields of Artificial Intelligence, Machine Learning, and Data Science.This di...
Tools & skills
Skills & tools you'll master
Curriculum
Course Content
- Overview of Artificial Intelligence (AI) and its types
- Introduction to Machine Learning and Data Science
- AI use cases in business and industry
- Data Science lifecycle and workflow
- Problem-solving using data-driven approaches
- Python syntax and fundamentals
- Data types, variables, loops, and functions
- Object-Oriented Programming (OOP) basics
- Working with data science libraries
- Writing reusable and efficient code
- Descriptive statistics (mean, median, variance)
- Probability theory and distributions
- Inferential statistics and hypothesis testing
- Correlation and data relationships
- Linear algebra fundamentals (vectors, matrices)
- Mathematical intuition behind ML models
- Data collection and sourcing techniques
- Data cleaning and preprocessing
- Handling missing values and outliers
- Feature engineering techniques
- Data transformation and normalization
- Exploratory Data Analysis (EDA)
- Principles of data visualization
- Matplotlib and Seaborn libraries
- Creating charts and graphs
- Dashboards and reporting techniques
- Data storytelling for business decisions
- Insight presentation skills
- Introduction to relational databases
- SQL fundamentals and syntax
- Data querying techniques
- JOIN operations and filtering
- Aggregations and grouping
- Subqueries and advanced SQL concepts
- Supervised learning concepts
- Regression algorithms (Linear & Logistic)
- Classification techniques
- Decision Trees and Random Forest
- Model evaluation metrics
- Overfitting vs underfitting
- Model optimization techniques
- Clustering techniques
- K-Means clustering
- Hierarchical clustering
- Dimensionality reduction
- Principal Component Analysis (PCA)
- Real-world applications of clustering
- Neural network architecture
- Activation functions
- Forward and backpropagation
- Introduction to TensorFlow & Keras
- Deep learning applications
- Computer vision basics (CNN)
- Natural Language Processing (NLP) basics
- Text preprocessing and tokenization
- Sentiment analysis techniques
- Word embeddings
- Introduction to Large Language Models (LLMs)
- Prompt engineering
- Generative AI applications
- Model deployment concepts
- APIs for AI models
- Introduction to Docker
- Git & GitHub version control
- MLOps fundamentals
- CI/CD for machine learning
- AI system automation workflows
- Problem definition and business understanding
- Data collection and preprocessing
- Model building and training
- Model evaluation and optimization
- Deployment of AI solution
- Final presentation and documentation
- Portfolio development for career readiness
Accredited certificate
Certification After Completion of the Course
On completion you receive a professional certificate that validates your skills — add it to your résumé and share it on professional networks.
- Industry-recognized
- Shareable on LinkedIn
- Adds to your CV
FAQ
Frequently asked questions
Everything you need to know before you enroll. Can’t find your answer? Our team is happy to help.
Pick the training method that suits you (online, onsite, or recorded), tap “Enroll now”, and complete secure checkout in minutes. You’ll get a confirmation as soon as enrollment is complete.
We accept credit cards, e-wallets, and kiosk payments, plus international card payment. Every transaction is secure.
Yes — installments are available on most courses at checkout, so you can split the cost into comfortable payments.
Yes. You receive a professional certificate of completion you can add to your résumé and share on LinkedIn.
This course is offered in three formats: online (live sessions), onsite (in-class), and recorded (self-paced video). Choose whichever fits you.
Yes. Choose “Organization” in the enrollment card and request a tailored group quote — our corporate team will get back to you.
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International pricing in USD — exactly what you pay at checkout.
Classroom Training
In-person, hands-on experience
- Face-to-face with the instructor
- Hands-on labs & networking
- Premium training facilities
Live Online
Instructor-led virtual sessions
- Interactive live sessions
- Join from anywhere
- Session recordings included
Self-Paced
On-demand video learning
- Start instantly, learn anytime
- Lifetime access to materials
- Downloadable resources
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Data Science, Machine Learning & AI Engineering Diploma
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