SQL Analytics Project
Analyze relational data using joins, CTEs and window functions
SQL
AI & Machine Learning Professional Diploma
Build real-world AI systems from the ground up. Master Python, Data Analysis, SQL, Machine Learning, Deep Learning, Computer Vision, NLP, Transformers, Generative AI, LLMs, RAG, and MLOps while building practical projects and deploying AI models to production.
240 taught hoursLive Online · On CampusNext cohort Sep 14Installments available
LiveLive OnlineOn Campus
15+
Years of training
ISO 9001
Certified academy
30+
Corporate clients
Choose how you want to learn
Each option has its own schedule and price.
Live Online
Live online, from anywhere
19,900 EGP
- Next group starts
- Next group: 14 September
- Group name
- AI Online 129
- Session time
- Monday & Wednesday · 08:00 – 11:00
On Campus
Maadi
24,900 EGP
- Next group starts
- Next group: 18 September
- Group name
- AI Maadi 93
- Session time
- Friday & Saturday · 08:00 – 12:00
- Real hands-on projects & portfolio
- 24/7 ticket support
- Accredited certificate
Secure payment
You’ll Be Ready To
What you will be able to do after completing AI & Machine Learning Professional Diploma.
- Build and evaluate machine learning models end-to-end
- Design and train deep learning and computer vision models
- Build NLP and generative AI applications using RAG
- Deploy and monitor ML models in production with MLOps tools
- Work confidently across the full data science lifecycle
240 taught hours11 modulesLive instructor-ledAccredited certificate
You May Pursue Roles Such As
The skills you build here prepare you for roles such as these.
Data Scientist
Machine Learning Engineer
Data Engineer
AI Engineer
NLP Engineer
Computer Vision Engineer
Industries that hire these skills
- Banking & Fintech
- Healthcare & HealthTech
- E-commerce & Retail
- Telecommunications
- Manufacturing
- Government & Public Sector
- EdTech
- Media & Entertainment
- Logistics
Roles listed describe the career paths this program prepares you for. They are not a guarantee of employment, and outcomes depend on your own background, portfolio and job search.
Projects that build real skills
20 portfolio projects you build on AI & Machine Learning Professional Diploma, finishing with a capstone you can show an employer.
Regression Model Project
Predict a continuous target using regression techniques
Scikit-learnClassification Model Project
Build and tune a classifier with ensembles and evaluation metrics
Scikit-learnClustering & Dimensionality Reduction Project
Segment data using unsupervised learning
Scikit-learnDeep Learning Project
Build and train a neural network
TensorFlow/KerasComputer Vision Project
Image classification and object detection with CNNs
OpenCVKerasNLP Project
Text classification using Transformer models
Hugging FaceReinforcement Learning Project
Train an agent using Q-Learning/DQN
PythonGenerative AI / RAG Project
Build a RAG application over a custom knowledge base
LangChainMLOps Deployment Project
Track experiments and deploy a model as an API
MLflowDockerFastAPI- Capstone
Arabic OCR
- Capstone
Text Summarization & Text Generation
- Capstone
ٍSmart cv analyze
- Capstone
Machine Translator from English to Arabic
- Capstone
Image caption Generator
- Capstone
Face Mask & Emotion detection
- Capstone
Chatbot for college subjects
- Capstone
Breast or brain cancer Detection
- Capstone
ASL Detection
- Capstone
Arabic OCR
Technologies you’ll learn
The tools and disciplines this diploma covers, taken live from the academy’s own syllabus.
- Programming Foundations
- Python
- Data Analysis
- NumPy & Pandas
- Data Querying & Analytics
- SQL
- Data Visualization
- Matplotlib & Seaborn
- Applied Machine Learning
- Scikit-learn
- Deep Learning
- Keras / TensorFlow
- Computer Vision
- OpenCV
- NLP
- Hugging Face Transformers
- Generative AI & RAG
- LangChain
- Experiment Tracking
- MLflow
- Containerization
- Docker
- Model Serving & APIs
- FastAPI
- Version Control
- Git & GitHub
- Interactive Data Science
- Jupyter Notebook
- Statistical Visualization
- Seaborn
- Interactive Visualization
- Plotly
- Model Sharing
- Hugging Face Hub
- CI/CD Automation
- GitHub Actions
- Model Demo Apps
- Streamlit
What you’ll learn
11 modules · 59 topics · 240 hours
Build the Python programming foundation for data science and AI.
What you’ll learn
- Variables and Data Types
- Operators and Expressions
- Strings
- Conditional Statements & Loops
- Functions and Modules
- OOP
You’ll build
- Python programs practicing core syntax
Outcome
You'll have the Python foundation needed for the rest of the diploma.
Clean, explore and visualize real-world data with Python.
What you’ll learn
- NumPy & Pandas Foundations
- Data Cleaning & Preparation
- Data Quality & Validation
- Exploratory Data Analysis (EDA)
- Data Visualization
You’ll build
- An EDA project on a real dataset
- Titanic Project
Outcome
You'll be able to clean, explore and visualize data using NumPy and Pandas.
Query and analyze relational data with SQL.
What you’ll learn
- SQL Foundations
- Aggregation & Grouping
- Joining Tables
- Subqueries & CTEs
- Window Functions
- Time & Date Analysis
You’ll build
- A SQL analytics project
Outcome
You'll be able to write advanced SQL queries for analytics.
Build the statistical foundation behind machine learning.
What you’ll learn
- Descriptive Stats
- Variability & Shape
- Distributions
- Theorems
Outcome
You'll understand the statistics behind data-driven decision making.
Build, evaluate and tune machine learning models.
What you’ll learn
- Regression
- Regularization
- Linear Classifiers
- KNN & SVM
- Decision Trees
- Ensembles (Bagging) and Clustering
- Dimensionality Reduction & Tuning
You’ll build
- A regression model project
- A classification model project
- Price detection
Outcome
You'll be able to build, evaluate and tune machine learning models end-to-end.
Understand and build neural networks with Keras.
What you’ll learn
- Intro to Deep Learning
- Stabilization techniques
- Advanced Keras
You’ll build
- A neural network built and trained in Keras
Outcome
You'll be able to design and train neural networks with Keras.
Build computer vision models using CNNs.
What you’ll learn
- Digital Images
- Intro to OpenCV
- The Convolve & Pooling Blocks
- Architectures History
- Transfer Learning
- Object Detection & Segmentation
- YOLO
You’ll build
- An image classification / object detection project
Outcome
You'll be able to build computer vision models with CNNs and transfer learning.
Process and understand text with modern NLP and Transformers.
What you’ll learn
- Preprocessing & Vectorization
- RNNs & LSTMs
- Why Transformers?
- Attention & Architecture
- BERT
- Advanced Tasks
You’ll build
- An NLP project using Transformer models
- sequence to sequence project
Outcome
You'll be able to build NLP applications using Transformer-based models.
Understand how agents learn through reward and interaction.
What you’ll learn
- The Ecosystem & Key Concepts
- Bellman Equation
- Q-Learning
- Why Deep RL?
- DQN Architecture
You’ll build
- A Q-Learning/DQN agent project
Outcome
You'll understand the fundamentals of reinforcement learning and DQN.
Build applications powered by large language models.
What you’ll learn
- The Generative AI Landscape
- Advanced Prompt Engineering
- RAG Components & Frameworks
- Fine-Tuning & LoRA
- Agents & Ethics
You’ll build
- A RAG-based generative AI application
Outcome
You'll be able to build LLM-powered applications using RAG and prompt engineering.
Take a model from notebook to production.
What you’ll learn
- Version Control
- Experiment Tracking (MLflow)
- Containerization (Docker)
- Model Serving & APIs (FastAPI)
- Deployment & CI/CD
You’ll build
- A deployed ML model served via FastAPI with MLflow tracking (Capstone)
Outcome
You'll be able to deploy and monitor machine learning models in production.
Curriculum is updated regularly to match market demand.
Prerequisites & who can start
What you need to start
- Personal laptop
- Basic computer literacy
- Ability to attend live sessions
- No prior data/AI experience needed
- Commitment to two major projects and a capstone
Who is this program for?
Built for people like you
- Fresh Graduates who want to start a career in Artificial Intelligence and Machine Learning.
- Python Developers who want to transition into AI and Machine Learning.
- Data Analysts who want to move from analytics into Machine Learning and AI.
- Aspiring AI Engineers who want to build real-world AI applications.
- Machine Learning Beginners looking for a complete, structured learning path.
- Software Developers who want to integrate AI and LLMs into applications.
- Career Changers looking to transition into the rapidly growing AI industry.
- Entrepreneurs & Startup Builders who want to build AI-powered products and applications.
- Freelancers who want to offer AI, Machine Learning, Data, or Generative AI services to clients.
Upcoming cohorts
Pick a start date and reserve your place.
14Sep
Starts Mon, 14 Sep 2026
in 7 DaysGroup AI Online 129
08:00 PM – 11:00 PM Online (live)
MondayWednesday
20Sep
Starts Sun, 20 Sep 2026
in 13 DaysGroup AI Online 127
05:00 PM – 08:00 PM Online (live)
TuesdaySundayThursday
Choose the Learning Experience That Fits You
Every option is live instructor-led, with the same projects, assessments and accredited certificate. Pick the format that fits your schedule.
| Feature | Online Live Cohort | On Campus Live Cohort |
|---|---|---|
| Start Date | Fixed | Fixed |
| Delivery | Live Online | Live On Campus |
| Schedule | Fixed Weekly Schedule | Fixed Weekly Schedule |
| Learning Hours | 240 | 240 |
| Mentor Support | Live Instructor | Live Instructor |
| Projects | Included | Included |
| Assessments | Included | Included |
| Certificate | Included | Included |
| Ideal For | Students who prefer a structured weekly schedule | Learners who enjoy face-to-face classroom interaction |
Swipe the table to compare all three.
Start dates, times and prices for this program are in the enrollment card above.
Everything you need to succeed
What is included with every AMIT program, whichever format you choose.
Live Mentor Sessions
Learn directly from industry experts through interactive workshops, coaching, and Q&A.
Portfolio Projects
Build real-world solutions that demonstrate your practical skills.
Milestone Assessments
Reinforce your knowledge and unlock the next stage of your learning journey.
Expert Support
Receive guidance from mentors whenever you need help.
Learning Community
Connect, collaborate, and learn alongside other learners.
Progress Tracking
Monitor your milestones and stay on track toward graduation.
Certificate
Earn your diploma after successfully completing all program requirements.
Career Readiness
Prepare your portfolio and strengthen your confidence to apply your new skills professionally.
Frequently asked questions
Personal laptop Basic computer literacy Ability to attend live sessions No prior data/AI experience needed Commitment to two major projects and a capstone
AI & Machine Learning Professional Diploma is 240 taught hours across 11 modules, delivered live by an instructor. The exact calendar length depends on the cohort you pick — see the start dates above for each schedule.
Both. This programme runs live online from anywhere and on campus at Maadi, Nasr City. Every format is live instructor-led with the same projects, assessments and accredited certificate.
Live Online starts at 19,900 EGP, On Campus starts at 24,900 EGP. Installment plans are available — the options are shown at checkout.
Yes — an accredited certificate on successful completion of all program requirements. AMIT is ISO 9001:2015 certified and an ITIDA member, and its programs are accredited by the Egyptian Engineers Syndicate and the Applied Professionals Syndicate.
Recognized & accredited
Licensed by the Ministry of Communications & Information Technology
ISO 9001:2015
ITIDA
Cisco Networking Academy
Egyptian Engineers Syndicate
Applied Professionals Syndicate
AMIT graduates
In their own words
3 stories from AI & Machine Learning Professional Diploma graduates — the programme each of them took is on their card. Quoted from their own LinkedIn posts.
LinkedIn story
12/2025“A huge thank-you to AMIT Learning and the Digital Egypt Pioneers Initiative (DEPI) for their continuous support throughout this journey 🤍. A special thank you to our instructor for his continuous support, guidance, and dedication…”
PostAbd El-Hakim Abdelaziz
AI & Machine Learning Professional Diploma
LinkedIn story
07/2026“بفضل الله و الحمدلله وصلنا لنهاية الرحلة مع Digital Egypt Pioneers Initiative - DEPI و AMIT Learning و Nova Mind Business Technologyرحلة ابتدت من شهر 12 2025 ل شهر 7 2026 كانت رحلة طويلة اوي و عايزة نفس طويل بس حقيقي استمتعت بيها جدا و كانت تجربة ممتعة و اتعلمت منها حاجات كتير جدا.”
PostAbdullah Tayseer
AI & Machine Learning Professional Diploma
Studied Data Engineering
LinkedIn story
02/2026“I am thrilled to share a new milestone in my professional career: successfully completing the Business Intelligence program at Creativa innovation hubs, sponsored by the Ministry of Communications and Information Technology (MCIT), Egypt and Information Technology Industry Development Agency…”
PostAhmed Negm
AI & Machine Learning Professional Diploma
Studied Data Engineering
On camera
Students and projects on film
Filmed interviews and project walk-throughs from this discipline. Each card shows the programme that student actually took.
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