Unlock the power of model optimization! Learn how to apply quantization and make your GenAI models efficient with Python What you will learn Understand model optimization techniques: Pruning, Distillation, and Quantization Learn the basics of data types like FP32, FP16, BFloat16, and INT8 Master downcasting from FP32 to BF16 and FP32 to INT8 Learn the […]

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Learn how to create a custom website using the Django web framework and Python What you will learn Build a dynamic website with Python and Django Understand the Django framework and development cycle Learn Django fundamentals such as templates, models, and context Create a functional CRUD web app (create, read, update, and delete) Basic front-end

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Master real-time web apps with Socket IO, NodeJS, MERN Stack, MongoDB, Express, React, and hands-on coding projects. What you will learn Implement real-time features like chat using Socket IO Build a robust backend with Node js for real-time communication Integrate the MERN stack to create dynamic full-stack applications Deploy and scale real-time applications on cloud

Thriving Amidst Technological and Social Change What you will learn Understand emotional intelligence (EI) and its relevance in today’s digital world. Explore EI’s core components and how to apply them in digital environments. Navigate digital challenges like information overload, distractions, and conflicts. Develop strategies to manage stress, stay focused, and build connections. Build resilience and

“Mastering Ethical Hacking Techniques for Vulnerability Assessment and Cybersecurity Defense” What you will learn Introduction to Ethical Hacking Footprinting and Reconnaissance Scanning Networks Enumeration Why take this course? The 312-50v12: Ethical Hacking course, offered by EC-Council, is designed to provide a comprehensive understanding of the principles and practices of ethical hacking. It focuses on preparing

Everything you need to know about AI Engineering – Hands-on from Algorithms, Programming to Real Projects What you will learn Master Python for AI: Write efficient Python code, essential for AI and ML programming tasks. Data Preprocessing Skills: Prepare, clean, and transform data to enhance model performance. Statistical Knowledge: Apply core statistics to understand data