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Overview
Artificial intelligence is reshaping how organisations design, build, and scale modern applications. We believe the future belongs to those who can apply AI alongside cloud technologies to solve real business problems. This one-day course introduces the foundational concepts of AI and explores how Microsoft Azure enables the development of intelligent applications and agents.
Learners will gain a practical understanding of core AI workloads, including generative AI, natural language processing, speech, and computer vision. The course also introduces Azure AI services and tools, enabling participants to begin building simple AI-powered solutions. Aligned with Microsoft’s updated AI curriculum, this course provides a clear starting point for anyone beginning their journey into AI development.
Prerequisites
There are no formal prerequisites for this course. However, learners will benefit from having:
- Basic understanding of programming concepts, ideally using Python
- General awareness of cloud computing principles, including compute, storage, and authentication
- Interest in AI technologies and their application in real-world scenarios
Target audience
This course is designed for individuals at the early stages of their AI and technology careers. It is suitable for:
- Aspiring AI solution developers seeking foundational knowledge
- Junior technologists exploring AI capabilities within cloud platforms
- Students and career switchers entering AI or cloud-related roles
- Professionals looking to understand how AI can be applied within Azure environments
Delegates will learn how to
By the end of this course, learners will be able to:
- Describe fundamental concepts of artificial intelligence and machine learning
- Identify common AI workloads, including generative AI, natural language processing, speech, and computer vision
- Explain key principles behind responsible AI and ethical considerations
- Recognise the capabilities of Azure AI services and how they support application development
- Build and deploy simple AI-powered applications using Azure tools
- Understand how AI agents can be created and integrated into workflows
- Navigate Microsoft Learn and Foundry modules to continue developing AI skills
Outline
Introduction to AI fundamentals
- Define artificial intelligence and machine learning concepts
- Explore how AI is used across industries and organisations
- Understand the difference between traditional and modern AI approaches
- Identify real-world AI use cases and applications
Understanding AI workloads
- Overview of common AI workloads and scenarios
- Introduction to generative AI and its business impact
- Natural language processing concepts and use cases
- Speech recognition and synthesis fundamentals
- Computer vision capabilities and applications
Responsible AI and ethics
- Principles of responsible AI development
- Fairness, transparency, and accountability in AI systems
- Managing bias and ensuring ethical AI outcomes
- Governance and compliance considerations for AI solutions
Introduction to Azure AI services
- Overview of Azure AI portfolio and capabilities
- Understanding how Azure supports AI development lifecycle
- Key services for language, speech, vision, and decision-making
- Selecting the right service for different AI workloads
Building AI applications and agents
- Introduction to Microsoft Foundry and development tools
- Creating simple AI-powered applications using Azure services
- Designing and deploying basic AI agents
- Integrating AI capabilities into existing workflows
Working with Azure AI services
- Using Azure AI Language for text analysis and NLP scenarios
- Leveraging Speech services for voice-enabled applications
- Applying Vision services for image and video analysis
- Exploring Document Intelligence for information extraction
Deploying and managing AI solutions
- Deploying lightweight AI applications in Azure
- Monitoring and managing AI services
- Understanding scalability and performance considerations
- Best practices for maintaining AI solutions in production
Putting it all together
- End-to-end walkthrough of building an AI-powered application
- Combining multiple AI services into a single solution
- Demonstration of a real-world AI use case
- Guidance on next steps for further learning and certification
Exams and assessments
There are no formal exams included in this course. Learners will complete knowledge checks and interactive exercises throughout the day to reinforce understanding of key concepts and ensure practical comprehension.
Hands-on learning
This course includes:
- Guided demonstrations of Azure AI services in action
- Interactive exercises using Microsoft Learn modules
- Practical examples of building simple AI applications and agents
- Instructor-led walkthroughs to support real-world understanding
Frequently asked questions
How can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".
If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.
Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course.
Once you have purchased the Online course and have completed your registration, you will receive the necessary details to enable you to immediately access it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.