• Classroom
  • Online, Instructor-Led
  • Online, Self-Paced

The Global Institute of Technology 'Machine and Deep Learning ' is a Foundational Certification program designed to prepare learners for mid-level employment opportunities in the field of Machine and Deep Learning in Artificial Intelligence. Throughout this program, students will Learn to set up your development environment with Python, Jupyter, and essential libraries, gaining hands-on experience in data manipulation. Explore both supervised and unsupervised learning, delving into classification algorithms and model evaluation metrics.
Master dimensionality reduction techniques to simplify complex datasets and gain insights. Grasp the fundamentals of deep learning, including neural networks and backpropagation, and apply these skills to practical exercises.
By the end of this course, you'll have a solid foundation in machine and deep learning, equipping you to tackle real-world challenges and harness the potential of these transformative technologies

Learning Objectives

Upon completing this comprehensive course in Machine and Deep Learning, participants will:
- Get an Introduction to Machine Learning
- Setting up the Development Environment (Python, Jupyter, Libraries)
- Understand Supervised and Unsupervised Learning
- Delve into classification algorithms
- Explore Dimensionality Reduction Techniques
- Grasp Deep Learning Fundamentals and Training Nural Networks
- Introduce to Deep Learning Advanced Topics
- Work on Transfer Learning and Pre-trained Models
Upon completing this course, you will have gained a solid foundation in machine learning, deep learning, and practical data analysis skills, enabling you to apply these techniques to real-world problems and projects.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):