
Why choose the DevOps Pathway?
Modern organisations are increasingly dependent on cloud-native technology, automation, and rapid software delivery, creating strong demand for IT professionals with practical Kubernetes, Docker, and CI/CD skills.
Businesses need to deploy applications faster, scale services efficiently, reduce downtime, and respond quickly to changing customer demands. Docker enables organisations to package and run applications consistently across environments, reducing deployment issues. Kubernetes allows businesses to manage and scale large numbers of containers reliably, making it a critical technology for modern cloud infrastructure. CI/CD automates development, testing, and deployment, helping organisations release software faster while improving quality and reducing human error.
For IT professionals, understanding how these technologies work together is increasingly valuable. The combination provides the practical foundation required for DevOps, cloud, platform engineering, infrastructure, and site reliability roles.
DevOps has a mean salary of £83,925, which is 96.2% more than the overall national mean salary.
Adzuna Intelligence
Aug' 2026


AI fluency

Technical ability

Human skills
Both our course content and ongoing, 1:1 coaching from our Career Services team helps you develop the most sought-after soft & human skills this needed to thrive in this sector
AI fluency
Artificial intelligence is transforming this sector; our course programs include the most current and crucial AI models that empower you to be a stand-out candidate in this industry
Technical ability
Learn the technical qualifications employers are actively looking for with accredited, industry-recognised training from world-leading education providers
Accreditors
We make sure we provide our students with the most relevant, industry standard content, which is why this course is made up of material accredited by the following education leaders.
Skillsoft
At Learning People, we believe in delivering exceptional learning experiences that empower individuals to achieve their career goals. That’s why we’ve partnered with Skillsoft, a global leader in e-learning and professional development, to provide our students with world-class training and resources.
Linux Foundation
The Linux Foundation is one of the world’s leading organisations supporting open-source technology, with projects spanning Linux, Kubernetes, cloud computing, networking and cybersecurity. Its technologies underpin much of today’s digital infrastructure.
AI Fundamentals

The AI Fundamentals course equips you with the knowledge, confidence, and practical skills needed to work effectively with Artificial Intelligence.
What you'll learn:
- AI Foundations Awareness benchmark covering core AI and generative AI concepts and responsible use
- AI in the Workplace – using AI as a personal assistant, exploring use cases and understanding large language models
- Responsible Use of AI – ethical principles, risk mitigation, and safe organisational adoption
- AI Simulator – applying responsible AI practices in real-world scenarios
- ChatGPT Awareness benchmark – understanding prompts, benefits, limitations, and ethical considerations
- Discovering Microsoft Copilot – using AI to enhance productivity across Windows and creative tasks
- Copilot for Microsoft 365 – improving communication, collaboration, and data analysis across business tools
- Creating documents with Copilot – streamlining content creation in Word, PowerPoint, and collaborative apps
- Prompt Engineering fundamentals – designing prompts to improve AI outputs across tools
- AI Ethics and Risk simulator – applying ethical frameworks and risk awareness in AI development
How you'll be assessed:
Throughout the pathway, learners complete skill benchmarks, course assessments, and scenario-based simulations to validate their knowledge.
Certification:
Successful completion results in a Learning People Certificate of Completion and digital badge, demonstrating entry-level competence in AI and its workplace applications.
Certified Kubernetes Administrator (CKA) course overview
As organisations continue to modernise their infrastructure and adopt containerised applications, Kubernetes has become the leading platform for container orchestration. The CKA certification demonstrates your ability to deploy, configure, secure, and maintain production-grade Kubernetes clusters, making you a valuable asset to any DevOps, Cloud, Platform Engineering, or Systems Administration team.
Study time: 15 guided learning hours
Modules breakdown
What you'll learn
Certified Kubernetes Administrator (CKA) Examination
Certified Kubernetes Administrator (CKA)
1 x 120 minute exam, 15-20 practical based problems.
Docker course overview
Build practical Docker skills to confidently develop, deploy and manage containerised applications. This course covers creating and optimising Docker images, deploying containers, managing persistent data, and orchestrating multi-container applications with Docker Compose v2.
You’ll also develop hands-on knowledge of container networking, troubleshooting, security, performance optimisation and scalability, using industry best practices to work effectively with Docker in real-world environments.
Study time: 15 guided learning hours
Modules breakdown
What you'll learn
Docker Examination
Docker
End of module tests, Labs, Skill Benchmark
Future proof your career with AI certification:

AWS Certified AI Practitioner, is a course designed to provide a strong foundation in artificial intelligence (AI), machine learning (ML), and generative AI within the AWS Cloud ecosystem and is provided as standard with our tech career pathways*.
This certification validates your ability to understand AI concepts, identify practical business use cases, and leverage AWS services to build smarter, more efficient solutions without requiring a programming background.
By earning the AIF-C01 certification, you position yourself as a forward-thinking professional who can bridge the gap between technical teams and business strategy. You’ll gain the language, tools, and frameworks needed to guide AI initiatives, communicate with stakeholders, and ensure projects deliver measurable impact.
Course modules:
- AWS Certified AI Practitioner Modules Breakdown:
- Basic AI Concepts and Terminologies
- Practical Use Cases for AI
- The ML Development Lifecycle
- ML Operations (MLOps)
- Basic Concepts of Generative AI
- Capabilities and Limitations of Generative AI
- Building Generative AI Applications with AWS
- Design Factors for Applications Using Foundation Models
- Effective Prompt Engineering Techniques
- Training, Fine-Tuning, and Evaluating Foundation Models
Study time: 10 learning hours
Exam: 1 x 90 minute exam, 65 multiple choice and multiple response questions
*content is made available once your first core pathway certification has been passed
Boost your employability with our career booster courses:
Your pathway also includes our communications skills and critical thinking course. While technical skills are important, communication and critical thinking skills are often the distinguishing factor that sets successful businesses and professionals apart. They enable individuals to effectively navigate the complexities of the business world, build strong relationships, and drive innovation and growth.
- Communication essentials: This part of the course helps you build the skills to connect, influence, and lead with confidence. You'll cover topics such as AI-powered communication tools, intentional messaging, nonverbal techniques, technical communication strategies, and the power of effective writing to help you to convey ideas with clarity and impact in any professional setting.Critical thinking: Strengthen your ability to analyse, evaluate, and lead with clarity. This course covers challenging assumptions, investigating arguments, drawing sound conclusions, leveraging analogical thinking, overcoming cognitive biases, and applying critical thinking to leadership giving you the tools to make smarter decisions and guide teams with confidence.


