AI+ Developer™
Get hands-on with the tools and technologies that power the AI ecosystem
This certification validates comprehensive expertise in artificial intelligence, confirming the ability to apply Python programming, deep learning techniques, data processing methodologies, and algorithm design principles. The program assesses a learner’s capability to develop practical AI solutions through hands-on projects in natural language processing, computer vision, and reinforcement learning. It ensures participants can confidently work with advanced concepts, including time series analysis, model explainability, and cloud deployment, while building industry-ready skills to design and implement complex AI systems.
Enrollment Fee:
MUR 15,145
What You'll Learn
- Course Introduction
1.1 Introduction to AI
1.2 Types of Artificial Intelligence
1.3 Branches of Artificial Intelligence
1.4 Applications and Business Use Cases
2.1 Linear Algebra
2.2 Calculus
2.3 Probability and Statistics
2.4 Discrete Mathematics
3.1 Python Fundamentals
3.2 Python Libraries
4.1 Introduction to Machine Learning
4.2 Supervised Machine Learning Algorithms
4.3 Unsupervised Machine Learning Algorithms
4.4 Model Evaluation and Selection
5.1 Neural Networks
5.2 Improving Model Performance
5.3 Hands-on: Evaluating and Optimizing AI Models
6.1 Image Processing Basics
6.2 Object Detection
6.3 Image Segmentation
6.4 Generative Adversarial Networks (GANs)
7.1 Text Preprocessing and Representation
7.2 Text Classification
7.3 Named Entity Recognition (NER)
7.4 Question Answering (QA)
8.1 Introduction to Reinforcement Learning
8.2 Q-Learning and Deep Q-Networks (DQNs)
8.3 Policy Gradient Methods
9.1 Cloud Computing for AI
9.2 Cloud-Based Machine Learning Services
10.1 Understanding LLMs
10.2 Text Generation and Translation
10.3 Question Answering and Knowledge Extraction
11.1 Neuro-Symbolic AI
11.2 Explainable AI (XAI)
11.3 Federated Learning
11.4 Meta-Learning and Few-Shot Learning
12.1 Communicating AI Projects
12.2 Documenting AI Systems
12.3 Ethical Considerations
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
Prerequisites
- Basic math, including familiarity with high school-level algebra and basic statistics, is desirable.
- Understanding basic programming concepts such as variables, functions, loops, and data structures like lists and dictionaries is essential.
- A fundamental knowledge of programming skills is required.
Exam Details
Duration:
90 minutes
Passing Score:
70% (35/50)
Format:
50 multiple-choice/multiple-response questions
Delivery Method:
Online via proctored exam platform (flexible scheduling)
Unlock Self-Paced Online Learning
- Unlock Self-Paced Online Learning
- Access learning anytime, anywhere, with built-in quizzes to measure progress.
- Enrollment Fee: MUR 15,145