Development

AI Engineer Professional Certificate Course

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
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