Azure Open AI & Prompt Engineering Zero to Hero with Chatgpt
What you'll learn
- Understand the concepts and applications of Azure Open AI and Prompt Engineering
- Understand the concepts and applications of Azure Open AI and Prompt Engineering
- Discover various Azure cognitive services and how to use them in Open AI and Prompt Engineering
- Dive deep into Prompt Engineering and learn how to create and fine-tune AI models using GPT-3 and other OpenAI models
- Get tips and insights from experienced AI and Azure professionals on how to optimize your Azure Open AI and Prompt Engineering projects
- Practice your skills with real-world examples and exercises, including building a chatbot with OpenAI's and deploying it on Azure.
Requirements
- Basic knowledge of Azure Cloud Platform
Description
Welcome to the "Azure Open AI & Prompt Engineering Zero to Hero with Chatgpt" course!
In this course, you will learn how to work with Azure OpenAI, specifically the GPT-3.5/4 model and how to use it for prompt engineering, which is the art of crafting effective prompts to generate high-quality text responses. You will start with the basics of Azure OpenAI and progress to more advanced topics, such as prompt engineering, data preparation, and model fine-tuning.
By the end of this course, you will have a strong understanding of Azure OpenAI and how to use it for prompt engineering, as well as the skills to build your own powerful AI applications using GPT-3.5.
This course is designed for developers and data scientists who are interested in learning how to work with Azure OpenAI and want to become proficient in prompt engineering.
Learn about the fundamentals of Azure Open AI and Prompt Engineering.
Understand the concept of natural language processing and how it works with AI.
Dive deep into the principles of prompt engineering, and how it can be used to generate human-like text.
Explore the different tools and platforms offered by Azure for Open AI and Prompt Engineering.
Understand the importance of pre-training and fine-tuning in creating robust AI models.
Discover how to use GPT-3 models for text completion and generation.
Learn how to train and deploy GPT-3 models on Azure.
Gain insights into best practices for working with Open AI and Prompt Engineering.
Learn about the ethical considerations and potential risks associated with AI and how to mitigate them.
By the end of this course, you will have a solid understanding of Azure Open AI and Prompt Engineering and be able to apply this knowledge to create powerful and effective AI models. Whether you are a developer, data scientist, or AI enthusiast, this course will provide you with the skills and knowledge you need to take your AI projects to the next level.
Enroll today and start your journey to becoming an Azure OpenAI and prompt engineering expert!
Who this course is for:
- Anyone interested in AI and language processing and wants to learn how to use OpenAI GPT models and prompt engineering in Azure cloud.
- Developers and engineers who want to learn how to build AI-powered applications
- Data scientists and analysts who want to expand their knowledge of AI and natural language processing
- If you would like to become Prompt Engineer
Instructor
- 3.7 Instructor Rating
- 1,100 Reviews
- 59,665 Students
- 8 Courses
We are working as Azure DevOps Engineer .Responsible for automated deployment process ,timely build release on UAT and PROD environment ,with 8 Years of Experience as a DevOps & Build Release Engineer and Trainer. 5000+ happy students
Cleared Azure DevOps AZ 400 (75%) and AZ 900 exams (93%)
I am MCT certified for three years . Hold 13 + certifications
• Proficient in Requirement gathering/analysis
• Effective communicator who enjoys building and maintaining client relationships
• International Experience of working with US & SPAIN Client.
• Release build and Deployment experience. Provided support in PRODUCTION/UAT Environment.
• Ability to multi-task and prioritize work as per deadlines.
• To pursue a challenging and respectable career in an organisation by learning, growing and
improving skills.
• Worked on AWS EC2 ,ElasticBeanStalk ,S3 ,VPC ,Migrations ,AWS services .
• Responsible for creating branches after very PSI
• Created Jenkins pipleline for daily automated deployments .
• Used powershell , python plugins in Jenkins as script for deploying applications
• Managing PRODUCTION deployments for eight applications , troubleshooting & closing
deployments under deployment window .
• Experience with CI Tools for build and deployment.
• Following an agile development environment and familiarity with Agile/SCRUM principles.
• Worked on in-built deployment tracking tool .