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Keep shoppingDeveloping Generative AI Applications on Azure
22 students
Developing Generative AI Applications on Azure
AWS Bedrock - 15% theory 85% hands-on Lab
Created byAnil Bidari
Last updated 7/2024
English
What you'll learn
- Master Azure OpenAI Service: Learn to deploy and manage Generative AI applications using Azure OpenAI Service
- Hands-on Linux and Python: Gain practical skills in Linux and Python essential for AI development.
- Build AI Models: Acquire the expertise to design and build generative AI models from scratch.
- Master Machine Learning Concepts: Learn the core concepts and techniques of machine learning, including supervised and unsupervised learning, model evaluation,
- Develop Generative AI Applications: Acquire skills to build and deploy generative AI models on aws bedrock, leveraging advanced techniques and tools.
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Course content
20 sections • 161 lectures • 16h 44m total length
Requirements
- This is a Zero to Hero program, designed to take learners from beginners to advanced levels, making it accessible even for non-coders.
- The course starts with foundational topics such as Linux and Python, progresses through Machine Learning, and culminates in developing Generative AI (aws bedrock) applications.
Description
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 Sessions
Understand 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.
Who this course is for:
- This course is ideal for anyone interested in entering the field of AI, including beginners with no prior coding experience. It is also suitable for professionals looking to expand their knowledge in Linux, Python, Machine Learning, and Generative AI. Whether you are a student, an aspiring data scientist, or a tech enthusiast, this comprehensive pathway will equip you with the necessary skills to excel in the AI domain.
- This course is a zero-to-hero program designed to take you from a beginner to an expert.