Keras for Machine Learning

Keras for Machine Learning

Keras is a user-friendly framework that makes building artificial intelligence models much simpler. Instead of diving into complex coding, Keras allows learners to create and experiment with machine learning systems using clear and easy-to-understand commands. It is widely used for deep learning, which powers technologies like image recognition, chatbots, and recommendation systems.

This certification equips learners with the knowledge to design, train, and test machine learning models using Keras. By the end of the program, participants will understand how AI learns from data and how to apply this in real-world fields like automation, business solutions, and research.

Who should take the Exam?

This exam is ideal for:

• Data Scientists and AI Enthusiasts
• Software Developers interested in AI
• Machine Learning Engineers
• Students in Computer Science, IT, or Data Analytics
• Business Analysts exploring AI solutions
• Researchers in fields like healthcare or finance
• Beginners curious about AI and deep learning

Skills Required

• Basic knowledge of Python programming
• Understanding of mathematics (algebra, probability, statistics)
• Interest in AI and data-driven solutions
• Problem-solving and logical thinking

Course Outline

Domain 1 - Introduction to Keras and Machine Learning

Domain 2 - Setting Up the Environment

Domain 3 - Core Machine Learning Concepts

Domain 4 - Neural Networks with Keras

Domain 5 - Data Handling and Preprocessing

Domain 6 - Building Models in Keras

Domain 7 - Applications of Keras

Domain 8 - Improving Model Performance

Domain 9 - Future Path in AI with Keras