- Course type
- Foundation Programme
- Programme length
- 12-16 weeks
- Next course
- 7 May 2024
- Hours per week
- 5 hours
- Learning style
- Flexible
- Price
- £3,499 - current special offer of £2,499
Programme overview
You will get hands-on experience coding with Python, implement Application Integration principles with APIs and SDKs, and learn about Cloud Computing and Data with Azure. You will also learn Microsoft Copilot, OpenAI, Azure OpenAI, Machine Learning, vision and language understanding service.
Timeline
Get industry employed in 12 weeksThis is a guideline of how you can expect this programme to run from start to finish.
Onboarding
The first stage of the programme makes sure you’re ready to engage, setting you up for success. You will meet your learning mentor and we’ll get you started with some simple personal skill tasks in a self-study online environment.
Timeline
Technical training typically starts in week 3 of the programme. These sessions include AZ-900 Azure Fundamentals, DP-900 Azure Data Fundamentals, AI-900 Azure AI Fundamentals and AI-102 Associate Azure AI Engineer.
Certification
You will obtain 4 certifications: Azure Fundamentals, Azure Data Fundamentals, Microsoft Azure AI Fundamentals and Associate Azure AI Engineer.
Employment
After 12 weeks of technical training, we use the last 4 weeks to provide you with an employability toolbox, including a case study to showcase and implement all the skills that you have learned, soft skills for running design workshops and writing design documentation.
What will I learn?
After this programme, you will be able to design and implement software using AI services in Microsoft Azure.
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AZ-900 Azure Fundamentals
This exam measures your ability to describe the following: cloud concepts; Azure architecture and services; and Azure management and governance.
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Python Development and AI Fundamentals
This course will teach you the fundamentals of coding with Python. You'll gain an appreciation of handling data, integrating with applications through HTTP, SDKs and APIs. You'll also learn how to implement AI techniques, such as regression, clustering and classification.
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DP-900 Azure Data Fundamentals
This exam measures your ability to accomplish the following tasks: describe core data concepts; identify considerations for relational data on Azure; describe considerations for working with non-relational data on Azure; and describe an analytics workload on Azure.
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AI-900 AI Fundamentals
This exam measures your ability to describe the following: Artificial Intelligence workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; features of Natural Language Processing (NLP) workloads on Azure; and features of generative AI workloads on Azure.
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AI-102 Associate Azure AI Engineer
This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure AI solution; implement decision support solutions; implement computer vision solutions; implement natural language processing solutions; implement knowledge mining solutions and document intelligence solutions; and implement generative AI solutions.
Obtain real-life skills
Our onboarding process will make sure you have everything you need to enhance your learning.
Where can it lead?
The possibilities are endlessHere are some roles and indicative salaries that you could earn for after completing this course.
Outcomes
Work towards an achievementWork on your own case study
The details of the case study will be shared with you on the course. You can expect to implement, manage and monitor an organisation’s Microsoft Azure environment, including:
* computer vision solutions
* natural language processing solutions
* knowledge mining and document intelligene solutions
* generative AI Solutions
This case study can be presented back to your learning mentor and you may choose to bring this into the conversation during your interview to showcase your practical experience.
This is something to be proud of
After this programme, you will be able to design and implement software using AI services in Microsoft Azure. Your responsibilities include participating in all phases of AI solutions development, including:
- Requirements definition and design
- Development
- Deployment
- Integration
- Maintenance
- Performance tuning
- Monitoring
You work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers too build complete and secure end-to-end AI solutions and integrate AI capabilities in other applications and solutions.
Get in touch
Ready to talk?There are currently two options available to enrol on this course: employee-sponsored funding or individual pricing. Contact us to find out more!