Training with Iverson classes
Training is not a commodity – all training centres are not the same. Iverson Associates Sdn Bhd is the most established, the most reputable, and the top professional IT training provider in Malaysia. With a large pool of experienced and certified trainers, state-of-the-art facilities, and well-designed courseware, Iverson offers superior training, a more impactful learning experience and highly effective results.
At Iverson, our focus is on providing high-quality IT training to corporate customers, meeting their learning needs and helping them to achieve their training objectives. Iverson has the flexibility to provide training solutions whether for a single individual or the largest corporation in a well-paced or accelerated training programme.
Our courses continue to evolve along with the fast-changing technological advances. Our instructor-led training services are available on a public and a private (in-company) basis. Some of our courses are also available as online, on demand, and hybrid training.
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Optimizing Your Energy
Date: 11/12/2023 - 11/12/2023
Data Centre Foundation Certificate (VILT)
Date: 12/12/2023 - 13/12/2023
Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.
Additional Info
- Certification Course only
- Course Code AI-050
- Price 1400
- Exam Price Exclude
- Duration 1 Day
- Principals Microsoft
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Schedule
5 Jan 2024
1 Mar 2024
3 May 2024
29 Jul 2024
20 Sep 2024
1 Nov 2024
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Audience
The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.
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Prerequisities
Before starting this learning path, you should already have:
•Familiarity with Azure and the Azure portal.
•Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before taking this course. -
At Course Completion
- Module 1 Title Introduction to Azure OpenAI Service
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Module 1 Content
Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. Understand how you can use Azure OpenAI to build solutions against AI models within Azure.
Learning objectives
In this module you'll learn how to:
•Describe Azure OpenAI workloads and access the Azure OpenAI Service
•Understand generative AI models
•Understand Azure OpenAI's language, code, and image capabilities
•Understand Azure OpenAI's responsible AI practices and limited access policies - Module 2 Title Get started with Azure OpenAI Service
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Module 2 Content
This module provides engineers with the skills to begin building an Azure OpenAI Service solution.
Learning objectives
By the end of this module, you'll be able to:
•Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models.
•Use the Azure OpenAI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds.
•Generate completions to prompts and begin to manage model parameters. - Module 3 Title Build natural language solutions with Azure OpenAI Service
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Module 3 Content
This module provides engineers with the skills to begin building apps that integrate with the Azure OpenAI Service.
Learning objectives
By the end of this module, you'll be able to:
•Integrate Azure OpenAI into your application
•Differentiate between different endpoints available to your application
•Generate completions to prompts using the REST API and language specific SDKs - Module 4 Title Apply prompt engineering with Azure OpenAI Service
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Module 4 Content
Prompt engineering in Azure OpenAI is a technique that involves designing prompts for natural language processing models. This process improves accuracy and relevancy in responses, optimizing the performance of the model.
Learning objectives
By the end of this module, you'll be able to:
•Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models' performance.
•Know how to design and optimize prompts to better utilize AI models.
•Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses. -
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We are incredibly excited to share an upcoming inspiring event in collaboration with our esteemed partner @Women in AI Malaysia , exclusively dedicated to empowering everyone for rewarding journey in AI industry.
Join us for an enlightening talk featuring two authoritative speakers from Women in AI and take a dive into the fascinating world of AI while acquiring essential AI skills and knowledge through AI skilling session by Iverson.
Event details:
Date: 15th December 2023
Time: 9.30AM – 5.30PM
Mode: Virtual (Microsoft Teams)
Register here now to expand your horizons in the realm of AI!
EMC Data Science and Big Data Analytics
Date: 18/12/2023 - 22/12/2023
PMP, Project Management Professional (PMP), CAPM, Certified Associate in Project Management (CAPM) are registered marks of the Project Management Institute, Inc.