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Course on Claude AI, ChatGPT and Artificial Intelligence

Develop practical AI knowledge with an online artificial intelligence course covering Claude AI, ChatGPT, business adoption, governance and responsible use.

  • 78 students
  • July 2026
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Overview

Artificial intelligence is now used across research, content creation, data analysis, customer service, automation and decision-making. Tools such as Claude AI, ChatGPT and Gemini can improve productivity, but they can also produce inaccurate information, expose sensitive data, reflect bias and create copyright, privacy or accountability concerns when used without appropriate controls.

This online artificial intelligence course provides a structured introduction to AI technologies, generative AI platforms and responsible workplace use. Learners explore machine learning, neural networks, large language models, transformer architecture, natural language processing and the practical limitations of AI-generated content.

The course also examines how organisations use AI to support business processes, research, knowledge management, automation and digital transformation. Learners develop the knowledge needed to evaluate AI outputs, identify suitable applications and recognise when human review or specialist guidance is required.

What Is a Claude AI, ChatGPT and Artificial Intelligence Course?

A Claude AI, ChatGPT and artificial intelligence course explains how modern AI systems work, how generative AI tools can be applied in professional settings and how their risks should be managed.

Learners compare leading platforms, including ChatGPT, Claude AI and Gemini, while examining their capabilities, limitations, hallucinations, bias and reliability. The course focuses on transferable AI knowledge rather than training learners to depend on a single platform.

Who Should Take This Artificial Intelligence Course?

This course is suitable for:

  • Managers and supervisors introducing AI into workplace activities.

  • Business owners and organisational leaders assessing AI opportunities.

  • Employees using generative AI for writing, research, analysis or administration.

  • Digital transformation and innovation professionals.

  • Compliance, governance, privacy and risk-management teams.

  • Data protection, cybersecurity and information-management professionals.

  • Business analysts, consultants and project professionals.

  • Public-sector, healthcare, finance, education and tourism professionals.

  • Career changers seeking practical and structured AI knowledge.

No programming or technical experience is required. The course is suitable for learners who want to understand both the practical uses and professional responsibilities associated with artificial intelligence.

What Does This Artificial Intelligence Course Cover?

The course covers artificial intelligence foundations, machine learning, deep learning, neural networks, transformer models, natural language processing and large language models.

Learners examine Claude AI, ChatGPT, Gemini and other generative AI platforms, including their strengths, limitations and appropriate workplace applications. Key topics include hallucinations, bias, model evaluation, AI-assisted research, decision-making and productivity.

The course also explores enterprise AI adoption, intelligent automation, knowledge management, digital transformation, data governance, cybersecurity, copyright, intellectual property and human oversight.

Learners seeking more detailed instruction on applying ChatGPT to everyday professional tasks may also explore the ChatGPT for Workplace Complete Course.

How Does the Course Address AI Regulation and Governance?

The course introduces the main legal, ethical and governance issues affecting artificial intelligence in Spain and the European Union. These include the EU AI Act, GDPR, Spain’s LOPDGDD, AESIA, the Spanish Artificial Intelligence Strategy and the Digital Rights Charter.

Learners examine risk classification, transparency, accountability, explainability, algorithmic fairness, privacy protection, cybersecurity, intellectual property and responsible human oversight.

Why Do AI Literacy and Responsible Use Matter?

AI systems can generate misleading information, reproduce bias, disclose confidential data or influence decisions without sufficient transparency. Poorly managed AI use may also create operational, legal, security and reputational risks.

Common risks include:

  • Sharing personal or confidential information with unsuitable AI platforms.

  • Relying on inaccurate or fabricated outputs.

  • Using AI-generated material without checking copyright or ownership issues.

  • Allowing inconsistent or unauthorised AI use across teams.

  • Making decisions without adequate human review.

  • Introducing insecure tools or integrations.

  • Failing to document responsibility for AI-supported decisions.

  • Using AI in ways that conflict with data protection or sector requirements.

The EU AI Act places growing importance on AI literacy, responsible deployment and proportionate governance. Organisations should therefore ensure that employees understand the systems they use, the risks involved and the limits of automated outputs.

This course helps learners build practical AI knowledge, stronger critical judgement and greater confidence when using or evaluating artificial intelligence in professional settings. It supports more informed decisions about when AI is appropriate, how outputs should be reviewed and when additional legal, technical, security or data protection guidance may be needed.

Learning Outcomes

By completing this course, learners will be able to:

  1. Describe the history, development and principal branches of artificial intelligence.
  2. Distinguish between artificial intelligence, machine learning, deep learning, neural networks and generative AI.
  3. Explain the purpose and basic operating principles of transformer models and large language models.
  4. Compare the capabilities and limitations of ChatGPT, Claude AI, Gemini and other generative AI platforms.
  5. Recognise hallucinations, bias, unreliable outputs and other limitations that require critical review.
  6. Identify appropriate AI applications across business, finance, healthcare, education, tourism and public administration.
  7. Evaluate how intelligent automation, knowledge-management systems and AI-assisted research may support organisational objectives.
  8. Outline the principal stages and considerations involved in organisational AI adoption and digital transformation.
  9. Summarise the EU AI Act’s risk-based structure and the importance of AI literacy, transparency and human oversight.
  10. Explain how GDPR and Spain’s LOPDGDD may affect AI systems that process personal data.
  11. Assess common AI governance concerns involving privacy, cybersecurity, intellectual property, copyright and accountability.
  12. Apply responsible-use principles when reviewing AI-assisted decisions, generated content and workplace processes.

Requirements

No formal academic qualification, programming knowledge or previous artificial intelligence training is required. The course begins with foundational concepts before progressing into business, legal and governance topics.

The programme is suitable for professionals with general workplace experience as well as motivated beginners preparing to work with AI-supported processes. Learners should be prepared to think critically about technology, risk, accountability and the quality of AI-generated information.

Learners should have:

  • An interest in applying the learning in a workplace or professional setting
  • An interest in artificial intelligence and its practical responsibilities
  • A willingness to evaluate AI outputs critically
  • A device with internet access
  • Desktop or laptop access recommended for the best learning experience

This Course Includes

  • Approximately 12 hours of online self-paced learning
  • Structured modules based on the supplied curriculum
  • Practical professional guidance
  • Regulatory and professional alignment
  • Real workplace examples and applied scenarios
  • Knowledge checks or assessment preparation
  • Mock exam
  • Final exam
  • Certificate of completion
  • Access from desktop, tablet, or mobile device

Certification

Certification

After completing the course, learners will receive a Certificate of Completion from Spanish Compliance Institute.

The certificate demonstrates completion of structured learning covering artificial intelligence foundations, large language models, generative AI platforms, business applications, regulation, governance, ethics and responsible use. It can support continuing professional development records and demonstrate personal commitment to improving AI awareness.

The certificate is not a government-issued qualification, professional licence, vendor certification or guarantee of regulatory compliance or employer acceptance.

Why Choose Us

Spanish Compliance Institute provides structured online learning for professionals and organisations that need clear, practical understanding of changing workplace and regulatory responsibilities. This course brings technical AI concepts together with business adoption, professional ethics and governance rather than treating them as disconnected subjects.

The self-paced format allows learners to develop their knowledge around existing work and personal commitments. The curriculum is suitable for international learners while retaining specialist coverage of European and Spanish artificial intelligence requirements.

Employers can use the programme to support general AI awareness, professional development and more informed internal conversations about responsible adoption. Learners can build confidence without being expected to begin with programming, advanced mathematics or machine-learning engineering.

Learners choose Spanish Compliance Institute because the training is:

  • Clear, structured, and easy to follow
  • Suitable for busy professionals and teams
  • Focused on real workplace and professional challenges
  • Built around practical application rather than abstract theory
  • Written in accessible Global English
  • Designed for international learners and organisations
  • Supported by certificate-based completion

Career Opportunities

This course can support professionals working in or moving towards roles such as:

  • AI Governance Analyst
  • Responsible AI Coordinator
  • Artificial Intelligence Adoption Specialist
  • Digital Transformation Specialist
  • Business Analyst
  • Technology Risk Analyst
  • Data Governance Coordinator
  • Compliance or Regulatory Technology Professional
  • Innovation Manager
  • Knowledge Management Specialist

The course can strengthen professional development by helping learners discuss AI systems, identify responsible-use concerns and contribute to organisational adoption projects. It can also support broader awareness for roles involving compliance, risk, digital transformation, data governance or AI-supported operations.

Completion does not guarantee employment or independently qualify a learner for a regulated, technical or legally protected professional role.

Curriculum

1

Module 1: Foundations of Artificial Intelligence

1 Hour

  • History and Evolution of Artificial Intelligence
  • Core Concepts, Definitions, and Branches of Artificial Intelligence
  • Machine Learning, Deep Learning, and Neural Networks
  • Large Language Models (LLMs) and the Rise of Generative Artificial Intelligence
2

Module 2: Generative AI Technologies and Language Models

1 Hour

  • Architecture and Working Principles of Transformer Models
  • ChatGPT, Claude AI, Gemini, and Other Generative AI Platforms
  • Natural Language Processing (NLP) and Conversational Artificial Intelligence
  • Capabilities, Limitations, Bias, Hallucinations, and Model Evaluation
3

Module 3: Artificial Intelligence Applications and Digital Transformation

1 Hour

  • AI Applications in Business, Finance, Healthcare, Education, Tourism, and Public Administration
  • Enterprise AI, Intelligent Automation, and Knowledge Management Systems
  • AI-Assisted Research, Decision-Making, and Productivity Enhancement
  • Organizational AI Adoption Frameworks and Digital Transformation Strategies
4

Module 4: Legal, Ethical, and Regulatory Frameworks for AI in Spain

1 Hour

  • European Union AI Act: Principles, Risk Classification, and Compliance Requirements
  • General Data Protection Regulation (GDPR) and Spain's Organic Law 3/2018 (LOPDGDD)
  • Spain's AI Governance Framework: AESIA, National AI Strategy, and Digital Rights Charter
  • AI Ethics, Human Rights, Transparency, Accountability, Explainability, and Algorithmic Fairness
5

Module 5: AI Governance, Risk Management, and Future Trends

1 Hour

  • AI Governance Models, International Standards, and Risk Management Frameworks
  • Data Governance, Privacy Protection, Cybersecurity, and Information Security in AI Systems
  • Intellectual Property, Copyright, Responsible Use of Generative AI, and Human Oversight
  • Emerging AI Technologies, Future Workforce Skills, and the Future of Artificial Intelligence in Spain and the European Union

Frequently Asked Questions

It is an online artificial intelligence course covering AI foundations, large language models, generative AI platforms, business applications, digital transformation, regulation, ethics and governance.

The course examines Claude AI, ChatGPT, Gemini and comparable platforms while building wider knowledge that can be applied across different AI products and professional environments.

The course is suitable for professionals, managers, employees, business owners, consultants, compliance teams, digital transformation specialists and career-focused learners who need a structured understanding of modern AI.

It is particularly relevant to people who use generative AI at work or contribute to decisions about AI adoption, risk, privacy, security or governance.

No. Previous AI, coding or machine-learning experience is not required.

The course introduces the foundations before progressing into more detailed technical, regulatory and governance topics. General workplace or business experience may help learners relate the content to practical organisational situations.

The course is classified as Intermediate.

It is accessible to motivated beginners, but its coverage of transformer models, EU regulation, Spanish AI governance, data protection, risk frameworks and organisational adoption extends beyond a basic introductory course.

The estimated duration is approximately 12 hours of self-paced online learning.

Actual completion time may vary according to the learner’s previous knowledge, reading speed, note-taking and assessment preparation.

Yes. Learners who complete the course will receive a Certificate of Completion from Spanish Compliance Institute.

The certificate demonstrates that the learner completed structured study covering artificial intelligence, generative AI platforms, business applications, regulatory awareness and responsible AI governance. It does not constitute a professional licence, government accreditation or vendor-issued certification.

The course explains the capabilities, limitations and professional applications of ChatGPT, Claude AI, Gemini and other generative AI platforms.

Its primary purpose is broader than teaching interface functions or platform-specific prompts. Learners develop transferable knowledge about language models, responsible use, output evaluation, privacy, governance and organisational implementation.

Yes. The curriculum covers the EU AI Act’s principles, risk classification and compliance requirements, together with GDPR, Spain’s LOPDGDD, AESIA, Spain’s AI governance framework and the Digital Rights Charter.

AESIA contributes to the supervision and implementation of the EU AI Act in Spain and publishes resources intended to support responsible, rights-respecting AI adoption.

Yes. Employers may use the course as one component of a wider AI literacy and professional-development programme.

However, Article 4 of the EU AI Act expects organisations to consider staff knowledge, experience, training, use context and the individuals affected by AI systems. Employers should therefore combine general training with role-specific policies, platform guidance, risk controls and ongoing supervision where appropriate.

No. Completing an online course does not by itself guarantee compliance with the EU AI Act, GDPR, LOPDGDD or other applicable requirements.

Organisations must assess their particular systems, roles, data processing, risks, contracts and legal obligations. This course does not replace legal advice, data protection assessments, cybersecurity testing, conformity assessment, technical validation or specialist consultancy.

Course on Claude AI, ChatGPT and Artificial Intelligence for prompt engineering, AI tools, automation, productivity training.
$34.00
This Course Includes
  • 6 Hour
  • Access from mobile and PC
  • Study materials included
  • Certificate of completion
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