Course Overview
- Course Title: AI Engineer Professional Certificate Course
- Instructor: Jet Drag Academy
- Target Audience:
- Advanced learners
- AI and machine learning practitioners
- Professionals aiming for roles such as Machine Learning Engineer, AI Researcher, or Lead AI Architect
- Prerequisites:
- Completion of a beginner or associate-level AI or machine learning course
- Strong understanding of Python programming
- Solid grasp of basic machine learning concepts
- Familiarity with deep learning fundamentals
- Prior exposure to tools like Jupyter Notebook, TensorFlow, or PyTorch
- Working knowledge of mathematics for AI
- A computer with reliable internet
- Willingness to explore complex systems and hands-on coding
Curriculum Highlights
- Key Topics Covered:
- Model Tuning and Optimization
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs) and Sequence Modeling
- Transformers and Attention Mechanisms
- Transfer Learning and Fine-Tuning
- AI Agents: A Comprehensive Overview
- Introduction and Hands-on MLOps
- Key Skills Learned:
- Tune and optimize deep learning models
- Build and train CNNs
- Develop RNNs, LSTMs, and GRUs
- Implement transformers and attention mechanisms
- Apply transfer learning
- Design and analyze AI agents
- Use TensorFlow and PyTorch
- Deploy models using MLOps tools
Course Format
- Duration: 15.5 hours on-demand video
- Format: Self-paced online course
- Resources:
- Role Play
- 46 downloadable resources
- Access on mobile and TV
- Certificate of completion