Description

Deep Learning: Getting Started. This course is a practical, introductory guide to deep learning that helps technical professionals design, train, and evaluate neural network models using Python and modern frameworks. With the rapid adoption of generative AI, many technical professionals are required to work with neural networks and AI models without a clear understanding of how to build or train them. In this course, instructor Kumaran Ponnambalam provides a practical, hands-on introduction to deep learning and guides learners through the process of designing, training, and evaluating neural network models using Python and modern frameworks. Through real-world examples using structured and textual data, learners learn how to build functional models while also learning the foundational workflows that power today’s AI systems. Along the way, participants will learn how to connect core deep learning concepts to modern generative AI architectures such as transformers, embeddings, and base models. By the end of the course, learners will be fully prepared to evaluate, adapt, and reuse deep learning models in enterprise AI applications. The course is also integrated with GitHub Codespaces, an instant cloud development environment that provides users with all the capabilities of an integrated development environment without the need for any local setup, so they can practice from any device.

What you will learn

• Principles of designing and building neural network models using Python and modern frameworks
• Step-by-step training and evaluation of deep learning models with real-world examples
• Working with structured and textual data to build useful and effective models
• Understand the fundamental workflows that support today’s AI systems
• Connecting key deep learning concepts to modern generative AI architectures including transformers, embeddings, and base models
• Safely evaluate, adapt, and reuse deep learning models in enterprise AI projects and applications
• Practical use of the GitHub Codespaces cloud development environment without the need for complex local setup

This course is suitable for people who:

• Technical professionals and programmers who plan to work with neural networks and artificial intelligence models
• Deep learning and generative AI enthusiasts looking for a practical, hands-on introduction
• Developers who want to develop their skills in the Python programming language and cloud tools
• People who know how to evaluate and implement AI models in real-world, organizational environments

Course Details: Deep Learning: Getting Started

• Publisher: LinkedIn
• Instructor: Kumaran Ponnambalam

• Education level: Intermediate
• Training duration: 2 hours and 6 minutes

Course headings

Course images

Sample course video

Download link

Download file – 158 MB

Rapidgator link

Download File – 158 MB

File(s) password: www.downloadly.ir

File size

158 MB