Artificial Intelligence and Machine Learning Bootcamp
An intensive hands-on bootcamp designed to build practical AI and machine learning skills through real-world applications, data-driven models, and industry use cases across business, healthcare, and finance.
Program Overview
This executive bootcamp empowers participants to gain hands-on experience in the practical applications of Artificial Intelligence and Machine Learning. Designed for professionals across sectors, the program blends foundational theory with real-world practice to prepare participants for AI-driven transformation in their fields.
Mode of Delivery
- Interactive lectures
- Hands-on labs
- Case studies
- Practical simulations
- Capstone project
Target Audience
Professionals
Data analysts
Software engineers
Business strategists
Healthcare and finance specialists, and decision-makers aiming to integrate AI and machine learning into organizational solutions.
Objectives of the Training Program
By the end of this 7-day bootcamp, participants will be able to:
- Understand the foundational concepts of AI and machine learning.
- Differentiate between supervised, unsupervised, and reinforcement learning.
- Apply neural networks and deep learning models to real data problems.
- Explore generative AI and its applications in industry-specific scenarios.
- Use industry tools and platforms (e.g., Python, TensorFlow, Scikit-learn) to develop and evaluate ML models.
- Analyse business, healthcare, and finance data using AI-driven insights.
- Collaborate on a capstone project tailored to real-world problems in the UAE/GCC context.
Course Description
This intensive bootcamp equips participants with practical AI and machine learning skills through hands-on tools and real-world case studies in sectors such as business, healthcare, and finance. Learners build foundational knowledge in supervised and unsupervised learning, neural networks, and generative AI. The program includes a capstone project where participants design and present an AI-based solution tailored to real UAE/GCC use cases.
Learning Outcomes
By the end of this program, participants will:
1. Build, train, and evaluate machine learning models using real datasets.
2. Design AI solutions that address specific industry needs.
3. Understand ethical, legal, and strategic implications of AI adoption.
4. Collaboratively develop and present a real-world AI solution.
5. Gain applied skills in using AI/ML platforms and tools.
Methodology
1. Instructor-led sessions with live demonstrations
2. Hands-on labs using real datasets
3. Interactive case studies from the UAE and GCC
4. Simulation-based exercises and model testing
5. Capstone project with team-based presentation and expert feedback
Certification
1. Certificate of Completion endorsed by AUE
2. Attendance certificates are attested by KHDA
3. Optional 2 Continuing Education Credits (CECs)
Schedule & Topics
| Day | Session Title | Hours | Focus & Learning Outcomes |
|---|---|---|---|
| Day 1 | Introduction to AI & ML: Concepts, Tools, and Use Cases | 4 hrs | Overview of AI/ML, historical context, UAE/GCC use cases, and toolkits |
| Day 2 | Supervised Learning Techniques | 4 hrs | Regression, classification, model evaluation, practical lab using real datasets |
| Day 3 | Unsupervised Learning & Clustering | 4 hrs | K-means, hierarchical clustering, dimensionality reduction, market segmentation |
| Day 4 | Neural Networks & Deep Learning | 4 hrs | Perceptrons, multilayer networks, CNNs and RNNs, image/text analysis |
| Day 5 | Generative AI & Emerging Trends | 4 hrs | Introduction to GANs, LLMs, generative models and ethical considerations |
| Day 6 | Industry Applications: Business, Healthcare, Finance | 4 hrs | Case studies applying AI to solve problems in diverse sectors |
| Day 7 | Capstone Project & Presentations | 4 hrs | Final team project presentations, peer review, expert feedback, and implementation planning |
Estimated Pricing
Program Investment
AED 15,000 per participant
1. Includes full access to sessions, materials, certification, and post-program resources
2. Group discounts and corporate packages available
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