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Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335)

4.6 out of 5 rating Last updated 21/11/2024   English

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Global Schedule

GTR = Guaranteed to Run

13 Feb 25 Book
15:00 - 23:00 Live Online 2,086
17 Apr 25 Book
15:00 - 23:00 Live Online 2,086

12 Jun 25 Book
15:00 - 23:00 Live Online 2,086
14 Aug 25 Book
15:00 - 23:00 Live Online 2,086
09 Oct 25 Book
15:00 - 23:00 Live Online 2,086
04 Dec 25 Book
15:00 - 23:00 Live Online 2,086
Duration

2 Days

12 CPD hours

Overview

This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll:
- Gain a solid comprehension of the OpenAI and Azure OpenAI platforms, their unique features, and their capabilities.
- Develop an in-depth understanding of prominent AI models such as GPT-4, GPT-3, DALL-E, Codex, and Embedding, and their potential applications.
- Learn to manipulate the output of AI models effectively using the principles of prompt engineering.
- Gain the ability to fine-tune AI models efficiently, enhancing their performance for specific tasks.
- Obtain practical knowledge in implementing embeddings and indexing, integral parts of machine learning tasks.
- Understand Azure OpenAI's responsible AI practices, access policies, and security measures, fostering ethical and compliant AI applications within your organization.
- Grasp the principles and best practices of creating a private Business GPT, a critical skill in leveraging AI technology for business-specific applications.
- Develop proficiency in setting up and configuring content filters within Azure OpenAI Studio, enhancing the relevance and appropriateness of AI output.

Description

Immerse yourself in the transformative world of AI with the Azure OpenAI Boot Camp for Developers. This intensive, two-day program, designed for developers new to Azure OpenAI and OpenAI, offers an exceptional opportunity to harness AI's capabilities using the leading-edge Azure platform. This program is structured to give you a strong foundational understanding of AI and its diverse applications, from language translation to prediction modeling.
Guided by our Microsoft Azure-certified AI expert instructor, you'll gain modern hands-on skills using cutting-edge tools to implement innovative AI solutions at your workplace, resulting in smarter applications and improved operational efficiency.
Throughout the course you'll explore five main themes: OpenAI and Azure OpenAI platforms, Generative AI, Azure OpenAI's capabilities, exploration of AI models, and prompt engineering. You'll gain core skills and gain hands-on practice with major AI models including GPT-4, GPT-3, DALL-E, Codex, and Embedding, learning how to apply them on the job or in your projects in a practical way. You'll also become adept at prompt engineering, a skill that is essential to the successful deployment and performance of AI tasks.
You'll engage with a wide array of subjects, from experimenting with Azure OpenAI's features to fine-tuning GPT models,
implementing embeddings and indexing, and establishing content filters. In addition, you'll learn about Azure OpenAI's
workload management, access procedures, and responsible AI practices. This ensures that all AI applications developed are not only high-performing and efficient but also ethically sound and compliant with regulations.
At the end of this immersive course, you will have gained a deep understanding of the distinctive features of both OpenAI and Azure OpenAI platforms, developed advanced skills in prompt engineering and fine-tuning AI models, and gained hands-on experience with the applications of embeddings and indexing. Moreover, you will have the practical knowledge to apply these skills to improve your organization's AI capabilities, opening the door to a new level of innovative solutions, and preparing you for the AI-focused world of tomorrow.

Prerequisites

To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following
prerequisite skills:
- A basic understanding of artificial intelligence and its applications would help to quickly grasp the course content.
- A working knowledge of Python basics helpful but not required. Lab code will be supplied so you can simply run it for labs
that require it.
- Basic Understanding of Data Structures
- Prior exposure to any cloud services platform (such as Azure, AWS, or Google Cloud) would be beneficial.

Day 1

Introduction and Overview
Introduction to OpenAI and Azure OpenAI
Core competencies and objectives of OpenAI and Azure OpenAI
Distinctive features of both platforms
Comparative evaluation of OpenAI and Azure OpenAI
Hands-on Lab: Comparison of OpenAI and Azure OpenAI
Discussion and debrief
Unfolding Generative AI
Definition of generative AI
Evolution and historical context of generative AI
Use-cases of generative AI in various industries
Overview of generative AI algorithms and frameworks
Hands-on Lab: Investigating real-world applications of generative AI
Review and analysis of findings
Deep Dive into Azure OpenAI
Detailed overview of Azure OpenAI
In-depth analysis of Azure OpenAI's architecture and infrastructure
Key features and benefits of Azure OpenAI
Overview of Azure OpenAI applications and success stories
Hands-on Lab: Exploring Azure OpenAI capabilities through practical exercises
Discussion on insights and challenges
AI Models Exploration
Introduction to GPT-4, GPT-3, DALL-E, Codex, and Embedding
Overview of model development and evolution
Comparison of features and use-cases of each model
Exploration of the potential future advancements and applications of these models
Activity: Practical demonstration of different model uses
Analysis and review
The Art of Prompt Engineering: The Basics
Introduction to the concept of prompt engineering
Understanding the core principles of prompt engineering
Importance and role of prompt engineering in AI model performance
Analysis of common challenges and solutions in prompt engineering
Hands-on Lab: Basic of prompt engineering tasks
Discuss and review findings and strategies
Day 2

Mastering Prompt Engineering: Advanced Topics
Deep dive into advanced topics like space efficiency, few-shot learning, and non-chat scenarios
Exploration of key strategies like clear instructions, prime the output, and clear syntax
Review of real-world examples of advanced prompt engineering
Analysis of common mistakes and pitfalls in advanced prompt engineering
Hands-on Lab: Advanced prompt engineering activities
Review outcomes and insights
Azure OpenAI Workloads and Access
Overview of different Azure OpenAI workloads
Analysis of workload performance and scalability
Procedures for accessing the Azure OpenAI Service
Review of Azure OpenAI Service's reliability and maintenance
Hands-on Lab: Accessing and using Azure OpenAI
Discuss challenges and solutions
Fine-Tuning Mastery: GPT Model
Introduction to the concept of fine-tuning a GPT model
Understanding the mathematical principles behind fine-tuning
Steps and tips for efficient fine-tuning
Analysis of common challenges in fine-tuning and potential solutions
Hands-on Lab: Exercise to fine-tune a GPT model
Review outcomes and insights
Essentials of Embeddings and Indexing
Understanding embeddings and indexing
Introduction to the mathematical theories behind embeddings and indexing
Importance and real-world applications of embeddings and indexing
Discussion on the challenges and potential advancements in embeddings and indexing
Hands-on Lab: Practical activity on implementing embeddings and indexing
Discuss the application and challenges
Content Filtering Made Simple
Introduction to content filtering in Azure OpenAI Studio
Understanding the mathematical models behind content filtering
Key best practices for effective content filtering
Discussion on ethical and legal considerations in content filtering
Hands-on Lab: Set up and configure content filters
Discuss and review outcomes
Building a Private Business GPT
Concepts of LangChain and Llama Index
Introduction to the principles and best practices in GPT business application
Guidelines for creating a private business GPT
Discussion on the challenges and future of business GPTs
Hands-on Lab: Create a private business GPT
Discuss and review project
Ensuring Security and Effective Monitoring
Introduction to Azure Tooling for security
Overview of the principles of secure AI deployment
Best practices for monitoring Azure OpenAI applications
Discuss future challenges and advancements in AI security and monitoring
Hands-on Lab: Practical activities on security setup and monitoring
Discuss outcomes and insights
Azure OpenAI Responsible AI Practices and Limited Access Policies
Overview of Azure OpenAI's responsible AI practices
Understanding the ethical considerations in AI application
Understanding Azure OpenAI's limited access policies
Discussion on the legal framework and potential challenges in AI access policies
Hands-on Lab: Implementing responsible AI practices
Discuss outcomes, analysis and insights
Capstone Project
FINAL LAB: Comprehensive project that integrates learning from all modules
Final project review and feedback session
Wrap-up, Q&A
Additional course details:

Nexus Humans Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) Course

Available Delivery Options for the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) training provide?

The 2 day. Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) training course give you up to 12 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

Which exam does the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) training course prepare you for?

The Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) prepares you for the Yes official exam. You can take this exam at any exam center across UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online where ever you are. Exams vary in duration and if required you can request with the provider for any accommodations appropriate for you.

What is the correct audience for the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) training?

This Intermediate level course is geared for experienced technical professionals new to Azure and OpenAI who are eager to deepen their understanding of AI and apply it in their work. Roles might include data scientists,
machine learning engineers, AI researchers, and IT managers involved in AI strategy and deployment.

Do you provide training for the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335).

Yes we provide corporate training, dedicated training and closed classes for the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335). This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) program.

The Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) training takes place over 2 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

What other terms do people search for when looking for this course?

Popular related searched include AI; Machine Learning; Azure; Generative AI.

Why are Nexus Human the best provider for the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335)?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for UK on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) training.

Yes, the discount code PENPAL5 is currently available for the Azure OpenAI Boot Camp for Developers: Platform, Generative AI, Models, Prompt Engineering (TTAI2335) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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