Professional Diploma in AI: Future-proof your career.
Designed for ambitious professionals, graduates and managers, this programme shows you how to use AI with intent so you stay credible, competitive and recognised in your field.
10 x 3 Hour Modules
For Professionals
Globally Recognised
Course overview
Across 10 x 3 hour core modules, you learn how AI creates value, how to strengthen performance with data, remove repetitive work, sharpen communication with generative tools and build the capability to guide teams through rapid change.
The Professional Diploma in AI gives you a complete and practical foundation in how organisations plan, use and scale AI to stay relevant. It is built for graduates, managers, business owners and forward looking professionals who want to guide real progress without writing code.
You leave with applied skills and strategic frameworks that prove you can use AI with confidence, credibility and measurable business impact.
What you'll learn
- AI fundamentals and business language
- Identify clear value opportunities for your organisation
- Write prompts that deliver accurate and useful outputs
- Strengthen creativity, communication and productivity with generative tools
- Automate routine processes to free teams for higher value work
- Use data to guide stronger decisions and performance
- Manage AI risk through responsible use and clear oversight
- Lead AI projects that align with strategic goals
Course Curriculum
Our curriculum is designed by industry experts and continuously updated to reflect the latest in AI development. You will complete 10 x 3 Hour core modules as the basis of your certification assessment. You can also choose to study any of the 5 role specific elective modules and build cross-functional capability that applies directly to modern work.
Module 1
AI Fundamentals for Business
Build a clear understanding of artificial intelligence and how it is transforming modern organisations. This module introduces the core technologies behind AI and explores how they are applied across different business functions.
Topics Covered:
- Core concepts and capabilities of artificial intelligence
- Machine learning, natural language processing, and computer vision
- How AI works at a conceptual level
- AI applications across business functions
- Risks, limitations, and responsible adoption
- The strategic impact of AI on organisations
Module 2
Prompting for Large Language Models
Learn how large language models work and how to use them effectively for real business tasks. This module builds practical skills in prompting, managing AI interactions, and improving the quality and reliability of AI outputs.
Topics Covered:
- How generative AI and large language models work
- Prompting techniques for reliable outputs
- Structuring prompts for complex tasks
- Managing conversations and multimodal tools
- Validating and improving AI responses
- Building personal AI productivity workflows
Module 3
Context Engineering
Learn how to give AI the right information and instructions so it produces reliable results. This module focuses on structuring context, connecting AI to knowledge sources, and configuring systems that improve output quality.
Topics Covered:
- What “context” means in AI and why it matters
- How to structure information so AI produces better responses
- Connecting AI to knowledge using Retrieval-Augmented Generation (RAG)
- Using system prompts and custom AI configurations
- Designing AI workflows and automations that depend on context
- Evaluating and improving AI outputs
Module 4
Building AI Automations
Learn how to turn repetitive work into intelligent workflows using AI and no-code automation tools. This module focuses on designing reliable processes that move AI from individual use to team-level impact.
Topics Covered:
- Foundations of workflow automation and process design
- Identifying automation opportunities across business processes
- Building Your First Automations
- No code platforms and AI workflow integration
- Reliability, risk management, and human oversight
Module 5
Designing Multi Agent Flows
Learn how to design AI systems where multiple agents work together to solve business problems. This module introduces the principles of agent-based AI, how individual agents are designed, and how groups of agents can be coordinated to complete more complex tasks. The focus is on developing the planning and architectural thinking needed before building agent-based solutions.
Topics Covered:
- Foundations of agent-based AI and autonomy
- Designing and structuring single AI agents
- Tool use and capabilities within agent systems
- Multi-agent architectures and coordination models
- Planning agent systems for real business problems
- Design trade-offs, risk, and implementation considerations
Module 6
Agentic System Engineering
Learn how to turn agent designs into working systems that are reliable, tested, and ready for real business use. This module focuses on building, improving, and preparing agent-based systems for deployment at scale.
Topics Covered:
- Building functional agent-based systems
- Reliability and error handling
- Testing and debugging agent workflows
- Evaluating performance and outputs
- Moving from pilot to production
- Preparing agents for scale and deployment
Module 7
Data Intelligence with AI
Learn how to use AI to turn raw data into clear insights that support better business decisions. This module covers analysis, visualisation, data quality, and the responsible use of data in practice.
Topics Covered:
- Foundations of AI-powered analytics
- Exploring and analysing data with AI
- Data visualisation and communication
- Data quality and accuracy
- Bias and ethical data use
- Data strategy and business impact
Module 8
AI Business Innovation
Learn how to spot valuable AI opportunities and turn them into practical business cases. This module focuses on identifying use cases, testing ideas, and linking AI initiatives to real business value.
Topics Covered:
- Finding AI opportunities in the business
- AI-supported design thinking
- Rapid prototyping and idea development
- Evaluating and prioritising use cases
- Building business cases for AI
- Innovation planning and roadmapping
Module 9
AI Governance and Ethics
Learn how to put the right guardrails in place so AI is used responsibly, fairly, and in line with regulation. This module covers ethics, governance, risk, and the policies needed to support accountable AI use.
Topics Covered:
- Ethics, fairness, and transparency in AI
- AI risks and responsible use
- Regulations and compliance requirements
- Designing governance frameworks
- Audit, oversight, and accountability
- Organisational policies for AI use
Module 10
Strategic AI Adoption
Learn how to support AI adoption from early planning through to wider rollout across the organisation. This module focuses on readiness, stakeholder buy-in, change management, and building practical adoption plans.
Topics Covered:
- Assessing organisational readiness for AI
- Building influence and AI champion skills
- Stakeholder communication and engagement
- Training and adoption support
- Implementation and scaling strategies
- Roadmaps for sustainable AI adoption
Choose One
AI for Sales & Account Management
Apply AI to streamline sales workflows, improve targeting, and strengthen client relationships.
Topics Covered:
- AI-driven lead scoring & pipeline insights
- Personalised outreach and proposal generation
- Sales forecasting and performance tracking
- Account management automation
Choose One
AI for Digital Marketing & CRM
Use AI tools to enhance campaign performance, content creation, and customer engagement.
Topics Covered:
- AI-generated content and creative optimisation
- Customer segmentation and targeting
- Marketing automation & CRM workflows
- Analytics, insights, and performance modelling
Choose One
AI for Finance & Accounting
Leverage AI to automate processes, improve accuracy, and support strategic financial planning.
Topics Covered:
- Automated reporting, reconciliation, and analysis
- Forecasting cash flow, revenue, and risk
- AI for budgeting and financial modelling
- Compliance and audit automation
Choose One
AI for Supply Chain & Operations
Use AI to optimise operational performance, improve forecasting, and streamline logistics.
Topics Covered:
- Demand forecasting and inventory optimisation
- Workflow automation in operations
- Supplier and logistics analytics
- Process efficiency & cost reduction
Choose One
AI for Human Resources & Talent Management
Enhance HR operations with AI tools that improve hiring, development, and employee experience.
Topics Covered:
- AI-assisted recruitment & screening
- Performance management insights
- Learning & development using AI
- HR automation and data-driven decision making
Online Learning Re-invented
Most online courses deliver content and hope learning follows. AI Certified does something different. Every lesson combines content, practice, and real-time AI feedback — the same learning loop great teachers use in the classroom.
Frequently Asked Questions
No. The diploma is designed for professionals who want to understand and apply AI in their roles without becoming technical specialists. You learn through clear explanations, practical activities and real workplace examples.
The programme is fully self paced. Most learners complete the 12 modules in short sessions over twelve weeks. The programme is part time and structured so you can learn alongside a full time job. You can move at a steady pace and adjust when your workload changes. The balance helps you build new skills without affecting your professional commitments.
You will learn how AI works, how to use AI tools responsibly and how to identify opportunities where AI can support real business tasks. You also learn how to evaluate AI outputs, communicate AI concepts clearly and support responsible adoption within your team or department.
The diploma includes modules on AI fundamentals, prompt design, applied AI tools, decision making, responsible use and practical workflows. Each module connects directly to everyday work so you can see how AI supports productivity, analysis and communication across different roles.
You will complete online tasks, short applied projects and there will be a proctored online assessment at the end of the programme. When you finish, you receive a Credit Rated Certification that confirms verified capability, not just course completion. Each professional diploma carries 24 ECTS points.
Yes. Research shows that employers across sectors increasingly value AI literacy and responsible use capability. This diploma helps you take part in workplace conversations with confidence and apply AI to tasks in a clear, structured and safe way. These skills transfer across industries and job titles.
You can pause and return whenever you need to. Your progress is saved automatically. The programme is designed with real life schedules in mind, so temporary changes at work or home will not affect your ability to complete the diploma.
Yes. Many learners join the programme while changing role, exploring new opportunities or returning to study. The content is presented in a clear and supportive way so you can build confidence even if this is your first formal learning in a while.
You receive an AI Certified Professional Diploma in AI, which confirms verified competence. This provides a clear signal of your skills to employers and helps strengthen your professional profile.
Yes. Many learners continue into micro credentials, advanced diplomas or postgraduate options. The diploma gives you a strong foundation that prepares you for deeper study if you choose to continue.
Ready to advance your AI career?
Our certifications in AI are designed in collaboration with industry experts to provide real-world value and support career advancement.