Business Innovation with Generative and Agentic AI

Build practical Generative and Agentic AI skills for business innovation.

76
August 2026
Business Innovation with Generative and Agentic AI
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Overview

Imagine 20% of European businesses racing ahead today. Large enterprises reached 55% AI adoption rapidly. Ungoverned rollout leads directly to costly operational traps.

Generative and Agentic AI bridge that exact gap. Unlock secure RAG architecture and high-impact ROI deployment.

Transform your workforce into a protected innovation engine. Are you ready to make confident AI decisions?

Learning Outcomes

By completing this course, learners will be able to:

  • Differentiate generative AI, agentic AI, and traditional automation
  • Analyse business use cases across core value chains
  • Evaluate AI-driven business models using measurable ROI criteria
  • Design human oversight approaches for responsible agentic workflows

Certification Information

Certification Information

Successful learners receive the following completion certificate:

Certificate of Completion from Spanish Compliance Institute

Curriculum

1

Module 1: Generative AI Foundations for Business

1 • 1 hours

  • 1.1 What Generative AI Is and Is Not
  • 1.2 Evolution from Traditional AI to Foundation Models
  • 1.3 Core Generative AI Capabilities and Limitations
  • 1.4 Business Augmentation vs. Business Disruption
2

Module 2: Generative AI Technology and Systems

1 • 1 hours

  • 2.1 Large Language Models and Multimodal AI
  • 2.2 Prompt Engineering and Human–AI Interaction
  • 2.3 Retrieval-Augmented Generation and Enterprise Knowledge
  • 2.4 AI Agents and Autonomous Workflows
3

Module 3: Business Innovation and Enterprise Use Cases

1 • 1 hours

  • 3.1 Functional Use Cases Across the Business Value Chain
  • 3.2 Industry-Specific Applications of Generative AI
  • 3.3 AI-Driven Business Model Innovation
  • 3.4 Measuring Business Value and ROI
4

Module 4: Data, Architecture, and Enterprise Deployment

1 • 1 hours

  • 4.1 Data Strategy and Knowledge Management for Generative AI
  • 4.2 Enterprise Architecture and System Integration
  • 4.3 Security, Cyber Risk, and Model Protection
  • 4.4 Scaling, Cost Management, and Lifecycle Monitoring
5

Module 5: Governance, Law, and Workforce Transformation

1 • 1 hours

  • 5.1 EU AI Act and Spanish Regulatory Framework
  • 5.2 Data Protection, Privacy, and Intellectual Property
  • 5.3 AI Governance, Risk Management, and Accountability
  • 5.4 Workforce Impact, Change Management, and Ethical AI
6

Mock Exam

1 • 30 minutes

  • This practice assessment reviews key course concepts and terminology. It also covers scenarios and professional responsibilities. It prepares learners for the final assessment.
7

Final Exam

1 • 30 minutes

  • The final exam checks understanding across the complete course. It supports completion of the certificate pathway.

Requirements

  • No prior AI experience is required.
  • A computer, tablet, or similar device is required.
  • Reliable internet access supports uninterrupted online learning.

This Course Includes

  • Generative and Agentic AI strategy and business applications
  • AI governance, risk, accountability, and human oversight
  • Spain and EU regulatory awareness
  • Mock and final assessments
  • Certificate of Completion from Spanish Compliance Institute

Why Choose Us

Spanish Compliance Institute delivers structured learning focused on AI strategy, governance, and responsible technology use. Flexible online access also supports professionals balancing development with existing responsibilities.

Learners choose Spanish Compliance Institute because training is:

  • Clear, structured, and easy to follow.
  • Relevant to evolving AI and technology environments.
  • Designed around Spanish and EU regulatory contexts.
  • Suitable for professionals, teams, and business leaders.
  • Supported by a Certificate of Completion.

Career Opportunities

This course can support professionals entering these roles:

  • AI Strategy Manager
  • Digital Transformation Manager
  • Innovation Manager
  • AI Governance Specialist
  • Technology Risk Analyst

This course supports development across AI-enabled business roles. It does not guarantee employment, promotion, or regulated status. The knowledge can strengthen innovation and governance discussions.

More About This Course

What is Business Innovation with Generative and Agentic AI?

Business innovation with Generative and Agentic AI combines creativity and automation. Generative AI produces content, analysis, and new business outputs. Agentic AI can pursue goals through multi-step actions. The course explains how both approaches support business transformation.

Who should take this Generative and Agentic AI course?

This course suits professionals shaping AI-enabled business decisions.

  • Business leaders evaluating AI investments and strategic opportunities.
  • Innovation managers designing new AI-enabled products and services.
  • Strategy teams assessing competitive and operational AI opportunities.
  • Technology leaders planning integration, architecture, and deployment.
  • Risk professionals reviewing AI governance and accountability controls.
  • Product managers exploring AI-powered customer and workflow experiences.
  • Transformation teams coordinating workforce and process change.

What does the course cover?

The course covers five connected areas of enterprise AI. It starts with generative AI foundations and limitations. Then, it examines systems, RAG, agents, and workflows. Later modules address use cases, architecture, and ROI. Governance, privacy, security, and workforce change complete coverage. Detailed lessons appear within the curriculum above.

What risks can poorly governed AI create?

Poor controls can amplify privacy, security, and operational risks. Agentic systems may add risks through autonomous actions. Human oversight remains important for consequential business decisions. EU rules also create specific AI transparency duties. Strong governance helps businesses manage these risks consistently.

Frequently Asked Questions

No. Generative AI focuses on producing content like text or images from prompts, while agentic AI independently plans, makes decisions, and executes multi-step workflows to achieve specific goals.

Yes. Companies use generative AI to automate content creation and customer response, while agentic AI autonomously handles complex operational processes across systems like ERPs and CRMs.

No. Autonomous agents require clean, accessible data and modern APIs to pull context, execute actions, and seamlessly bridge legacy enterprise platforms.

Yes. Data privacy laws, GDPR, and regulations like the EU AI Act strictly cover autonomous agents, requiring explicit governance, transparency, and clear oversight guardrails.

Yes. Maintaining a Human-in-the-Loop ensures quality control, prevents unauthorized actions, and provides essential fallback logic when agents encounter ambiguous scenarios.

Yes. As routine tasks become automated, employee roles evolve toward auditing AI outputs, guiding strategic decision-making, and managing high-level agentic workflows.

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