Developing Generative AI Applications on Azure
About this course
What You'll Learn: The "Zero to Hero Program" is designed to guide you through a comprehensive learning journey, starting from the very basics and progressing to advanced topics that are essential before diving into Generative AI on Azure cloud. This program is structured to be accessible to everyone, including those who do not have a development background but have experience in IT. The aim is to ensure that even non-developers can gain the necessary knowledge and skills to effectively work with Generative AI on Azure's platform.15% Theory and 85% Hands-on Lab SessionsUnderstand Linux and Python:Gain foundational knowledge of Linux and Python, essential for developing and deploying AI applications.Master Machine Learning Concepts:Learn core concepts and techniques of machine learning, including supervised and unsupervised learning, model evaluation, and optimization.Develop Generative AI Applications:Gain hands-on knowledge on NLP, Hugging Face, LangChain, prompt engineering, and fine-tuning LLM models.Implement AI Safeguards:Learn how to apply responsible AI policies, including filtering harmful content and redacting sensitive information, to ensure ethical AI application deployment.Why Enroll:Expert Instruction:Benefit from the expertise of Anil Bidari, a seasoned professional with over 18 years of experience in cloud computing, DevOps, and Generative AI.Hands-On Learning:We have 80% practical demo videos and source guide provided.Comprehensive Curriculum:Covering everything from foundational knowledge to advanced deployment techniques.Join this course to become proficient in developing Generative AI applications on Azure AI, ensuring you stay ahead in the rapidly evolving field of AI.
62/100
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- 38/45
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- 8/35
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What you'll learn
- Understand the fundamentals of Linux and Python
- Learn core concepts of machine learning including supervised and unsupervised learning
- Gain hands-on experience in developing Generative AI applications
- Implement responsible AI practices within applications
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