Train your teams for the EU AI Act. Equip your teams to use AI safely and legally in under an hour
AI Certifications
Taking an AI certification course is one of the best ways that you can future-proof your career skills.
Our AI certification courses are designed to support individuals in building fundamental and technical AI skills that can be applied in their day-to-day work.
Top AI Certifications
Explore the most popular and most relevant AI certification courses that you can take to boost your career.
1. Certified AI Governance Professional
The Certified AI Governance Professional (AIGP) course teaches you how to develop, integrate, and deploy trustworthy AI systems in line with emerging laws and policies.
Businesses and institutions need professionals who can evaluate AI, curate standards that apply to their enterprises, and implement strategies for complying with applicable laws and regulations, making this an essential course for security and governance professionals.
You'll learn to:
- Establish foundational knowledge of AI systems and their use cases, the impacts of AI, and comprehension of responsible AI principles.
- Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed.
- Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
- Presents awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance.
2. AI Fundamentals
Explore the potential of AI in everyday work with this AI fundamentals course. This course is perfect for those that want to develop an understanding of AI concepts and applications, as well as security professionals who want to understand the role AI plays in cyber security and risk management.
You'll learn how to:
-
Understand AI landscape, AI assistants, and prompt engineering
-
Engage in practical AI applications through exercises and case studies
-
Explore AI tools to optimize workflow and content generation
-
Develop skills to navigate and leverage the AI ecosystem
3. Certified AI Security Engineer
By the end of this course, you'll be equipped to protect your organization's AI assets and maintain the integrity of your systems.
Discover how to securely integrate LLMs into your applications, safeguard training data, build robust AI infrastructure, and ensure effective human-AI interaction.
You'll learn:
- Introduction to AI Security
- Types of AI Systems and Their Vulnerabilities
- Understanding and Countering AI-specific Attacks
- Ethical and Reliable AI
- Prompt Injection
- Model Jailbreaks and Extraction Techniques
- Visual Prompt Injection
- Denial of Service Attacks
- Secure LLM Integration
- Training Data Manipulation
- Human-AI Interaction
- Secure AI Infrastructure
4. Generative AI Essentials
This course offers you a one-day comprehensive introduction to the world of Generative Artificial Intelligence (AI) tailored for business professionals.
What this course covers:
- Introduce Generative AI: Provide participants with a foundational understanding of Generative AI and its distinction from Discriminative models.
- Explore Capabilities & Limitations: Delve into the strengths and challenges associated with Generative AI, emphasizing aspects like content creation, ethical considerations, and potential biases.
- Highlight Real-World Applications: Showcase the transformative potential of Generative AI across various sectors, including marketing, design, and financial forecasting.
- Foster Collaborative Learning: Encourage group activities and discussions, fostering collaborative learning and the exchange of innovative ideas.
- Promote Ethical Use: Emphasize the ethical considerations and responsibilities when deploying Generative AI in a business context.
- Guide Implementation Strategies: Offer insights into best practices for implementing and scaling Generative AI in businesses, from pilot projects to widespread adoption.
- Facilitate Hands-on Experience: Engage participants in workshop, role-playing, and group projects, ensuring they can practically apply the knowledge gained.
5. Microsoft Azure AI Fundamentals
This Microsoft Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions AI makes possible and the services on Microsoft Azure that are used to create them.
You'll learn how to:
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Describe features of conversational AI workloads on Azure
6. BCS Essential Certificate in AI
The BCS Essentials Certificate in Artificial Intelligence tests a candidate’s knowledge and understanding of the terminology and the general principles.
This course covers the potential benefits; types of Artificial Intelligence; the basic process of Machine Learning (ML); the challenges and risks associated with an AI project, and the future of AI and Humans in work.
You'll learn more about:
-
Human and Artificial Intelligence;
-
The Machine Learning process;
-
The benefits, challenges and risks of a Machine Learning project;
-
The future of humans and machines in Work.
7. Developing Generative AI Applications on AWS
This two-day advanced course is designed for software developers seeking to leverage large language models (LLMs) without fine-tuning, using Amazon Bedrock and LangChain.
It covers the basics of generative AI, the foundations of prompt engineering, and architecture patterns for building generative AI applications.
You'll learn to:
- Describe generative AI and its alignment with machine learning
- Identify the business value of generative AI use cases
- Plan and mitigate risks in generative AI projects
- Understand and implement Amazon Bedrock for generative AI applications
- Apply prompt engineering techniques
- Build and secure generative AI applications using Amazon Bedrock and LangChain
- Design and implement architecture patterns for various generative AI use cases
8. Certified Ethical Emerging Technologist
The Certified Ethical Emerging Technologist (CEET) is designed for individuals seeking to demonstrate a vendor neutral, cross-industry, and multidisciplinary understanding of applied technology ethics that will enable them to navigate the processes by which ethical integrity may be upheld within emerging data-driven technology fields.
You'll learn to:
- Describe general concepts, theories, and challenges related to ethics and emerging technologies.
- Identify ethical risks.
- Practice ethical reasoning.
- Identify and mitigate safety and security risks.
- Identify and mitigate privacy risks.
- Identify and mitigate fairness and bias risks.
- Identify and mitigate transparency and explainability risks.
- Identify and mitigate accountability risks.
- Build an ethical organization.
- Develop ethical systems in technology-focused organizations.
9. BCS Foundation in Artificial Intelligence
The BCS accredited Certificate in Artificial Intelligence Foundation helps you to build upon your basic knowledge of AI.
You'll learn to:
- Recall the general definition of Human and Artificial Intelligence (AI)
- Describe the concept of intelligent agents.
- Describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model.
- Describe what are Ethics and Trustworthy AI
- Recall the general definition of Ethics.
- Recall that a Human Centric Ethical Purpose respects fundamental rights, principles and values
- Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust.
- Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored.
- Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability
10. AI Business Essentials for Leaders
This course offers you a one-day comprehensive introduction to the world of Artificial Intelligence (AI) tailored for business professionals who are looking to make effective changes involving AI solutions.
You'll learn to:
- Demystify AI basics
- Gain specific, practical knowledge to define your AI strategy
- Hear real-world recommendations on how to enable an AI ready culture
- Immerse in Practical Skills: Equip participants with hands-on skills, particularly in prompt engineering and model fine-tuning, tailored to business scenarios.
- Learn how to foster responsible and trustworthy AI
- Facilitate Hands-on Experience: Engage participants in workshop and group projects, ensuring they can practically apply the knowledge gained.
Explore AI certifications
Learn More About AI Certifications
Why choose QA for AI certification training?
AI is changing the world of work at a rapid pace, and training in AI can help to future-proof your career. No matter your role, AI is likely to have some impact on the way you work, and gaining an AI certification is a great way to grow your skillset and uncover new areas of career progression.
At QA, all of our AI courses and certifications are taught by artificial intelligence, cloud and data specialists, with real-life experience.
Businesses will need AI specialists more than ever in the future, whether that’s for building AI infrastructure, working with big data in the cloud or providing protection against ever-complex attacks, such as AI phishing.
How do I get certified in AI?
The best way to become certified in AI is to take a course where you can earn a certificate. The first step is identify the best course for you and your career aspirations.
There are AI certifications available for those that work in the fields of cyber security, such as AI governance and AI security engineer, cloud computing, such as AWS, Microsoft Azure and GCP, as well as AI fundamentals training for beginners and broad AI certifications, such as the BCS certificate in AI.
How do I prepare for AI certification?
The best way to prepare for becoming certified in AI is through a subscription to our online learning platform.
Gain unlimited access to learn content across a range of specialisms, including AI and machine learning. Discover smart assessments and AI powered labs to help prepare you for your certification exams.
How do I get a job in AI?
New roles in AI are emerging all the time, and AI technology is rapidly changing the requirements and capabilities of existing roles. The role of the AI engineer has emerged due to demand for specialists who can build AI infrastructure, while other specialisms, such as cyber security, are increasingly required to be proficient in how to use and protect against AI in cyber security operations.
Those looking to work in AI may also want to consider an apprenticeship program. Data apprenticeship programs, and cloud apprenticeships in AWS and Azure, are a good foundation for working towards a career tied closely to AI technology.
You could also consider an AI apprenticeship, such as the Level 7 AI and Data Specialist Degree Apprenticeship program.
What certifications do you need to be an AI engineer?
To learn more about AI engineering, read our guide: How to become an AI engineer, which outlines the training and learning paths you can take to move into this in-demand field.
Explore related training
Interested in exploring other tech training? Explore our other training options.
Let's talk
Start your digital transformation journey today
Contact us today via the form or give us a call