Course Overview
- Course Title: [FR] Cours de Certification Ingénieur Associé en IA
- Instructor: Jet Drag Academy
- Target Audience:
- Aspiring AI engineers
- Data science practitioners
- Developers seeking to upskill
- Prerequisites:
- Basic programming knowledge in Python, including functions, loops, and data structures
- Introduction to data science or a beginner AI course
- Familiarity with basic mathematical concepts such as algebra, functions, and vectors
- Basic understanding of probabilities and statistics (useful but not mandatory)
- A computer (Windows, macOS, or Linux) with stable internet access
- Ability to install and use tools like Jupyter Notebook, TensorFlow, and PyTorch (installation instructions provided)
- Curiosity and motivation to explore intermediate to advanced AI concepts
- Willingness to engage in practical programming and hands-on learning
Curriculum Highlights
- Key Topics Covered:
- Advanced feature engineering for machine learning models
- Model performance evaluation using accuracy, recall, F1, and AUC
- Algorithms such as decision trees, random forests, and gradient boosting
- Deep learning concepts including activation and backpropagation
- Building neural networks from scratch with Python
- Training and deploying models with TensorFlow and Keras
- Using PyTorch for building, optimizing, and evaluating deep learning models
- Fundamentals of AI agents and their practical applications
- Key Skills Learned:
- Constructing and deploying advanced ML models
- Understanding the mathematics and code behind neural networks
- Proficiently using TensorFlow and PyTorch
- Working with AI agent concepts and applications
- Preparing for specialized AI roles or further certifications
Course Format
- Duration: 20.5 hours on-demand video
- Format: Self-paced online course
- Resources:
- 3 articles
- 3 downloadable resources
- Access on mobile and TV
- Certificate of completion