About this course
University Micro-credential in AI in Action: Create, Organise and Solve Problems with Digital Tools. Academic Reviewer: Natalia Lara Nieto-Márquez. Lecturer at Camilo José Cela University. In the digital age, the artificial intelligence (AI) It is not just a trend, but an ever-growing necessity. The course ‘AI in Action: Create, Organise and Solve with Digital Tools’ equips you with the essential skills to make the most of AI tools, from tackling everyday tasks to creating AI-assisted prototypes. You’ll learn how to formulate effective instructions to achieve optimal results and how to choose the right tools for every need, thereby improving your productivity and efficiency. Demand for professionals trained in AI is booming, and this course puts you at the forefront of the labour market. Furthermore, the course promotes the responsible and critical use of AI, ensuring that you maintain control and security in your projects. Taking this course gives you the opportunity to be part of technological change, enhancing your academic and professional development in an innovative and accessible way.
What you’ll learn
- Identify tasks that can be optimised using digital tools and AI.
- Select tools according to need and context.
- Formulate effective instructions to improve AI responses.
- Use AI to generate and refine ideas and drafts.
- Describe AI solutions: users, functions and outcomes.
- Create simple AI prototypes without advanced programming.
- Critically evaluate results generated by AI and correct any biases.
What it prepares you for
The ‘AI in Action’ course prepares you to integrate digital tools and artificial intelligence into your day-to-day tasks, improving your efficiency and organisation. You will learn how to select and use the right tools to search for, organise and present information. You will also develop the skills to formulate effective instructions that optimise AI outcomes, and you will be able to create basic AI-assisted prototypes. You will also learn how to critically review results, ensuring their proper use responsible and safe of technology.
Syllabus
TEACHING UNIT 1. COMPLETING TASKS USING DIGITAL TOOLS AND AI
- Fundamentals of Generative Artificial Intelligence
- Identification of basic academic, lifelong learning, personal and professional tasks that can be supported by digital or artificial intelligence tools
- A basic selection of tools tailored to your needs: searching, organising, writing, summarising, presenting, planning or automation
- Organising information, documents, notes and tasks in digital environments
- Best practice for working in the cloud, sharing documents and collaborating securely
- Basic criteria for choosing a digital or AI tool based on the task, context and level of risk
TEACHING UNIT 2. EFFECTIVE PROMPTS FOR BETTER RESULTS
- How to formulate effective instructions or prompts: purpose, context, format, target audience and quality criteria
- Using AI to generate ideas, summarise, structure, rephrase, translate, create examples or prepare drafts
- Iteration and refinement of responses: how to refine a request using further questions, constraints, examples and review criteria
- Adapting results to different academic and professional contexts
- Using AI to support work processes, whilst retaining human review and independent judgement
TEACHING UNIT 3. AI-ASSISTED PROTOTYPING
- What does it mean to create digital solutions using natural language instructions?
- The difference between using AI to generate content and using AI to build a prototype, an automation process or a simple tool
- Identifying needs that can be met by a small prototype: forms, calculators, wizards, interactive templates, simple web pages, task automation or analysis
- How to describe an AI solution: purpose, users, functions, input data, expected outcome, constraints and validation criteria
- Guided creation of a basic AI prototype without the need for advanced programming knowledge
- Prototype testing: checking that it works, identifying errors, requesting improvements and documenting changes
- Limitations of AI-assisted prototyping: when it can be useful, when it should not be used, and when specialist technical support is required
TEACHING UNIT 4. CRITICAL REVIEW, SAFETY AND RESPONSIBLE USE
- Criteria for assessing whether an AI-generated result is useful, accurate, complete, appropriate and applicable to the context
- Identification of errors, biases, delusions or unverified information
- Human review, cross-checking against external sources and refinement of the results
- Protection of personal and confidential data when using digital tools and AI
- Transparency in the use of AI in academic and professional contexts
- Authorship, plagiarism, intellectual property and the limits of automated use
- Best practice for using AI to support learning and work, without replacing one’s own judgement
- Basic precautions when creating prototypes using AI: do not enter sensitive data, do not publish tools without reviewing them, and do not rely on code, automations or results without first testing them
Who is it aimed at?
This course is aimed at professionals and graduates who wish to improve their skills in using digital tools and artificial intelligence to carry out everyday tasks efficiently. Ideal for those looking to learn how to formulate effective instructions and create AI-assisted prototypes and implement best practice in organisational and digital security.
