Introduction to artificial intelligence

At the end of the course, you will earn a Certificate of Completion from Spirit in Projects.

Are you a forward thinker, ready to embrace innovation, and curious about how artificial intelligence (AI) can benefit your business or specific challenges? If you’re eager to assess the full potential of AI and explore best practices for its implementation, then this training is for you. Together, we’ll explore the latest applications of AI and equip you with the knowledge and tools to seamlessly integrate AI into your company’s operations.

Objectives

  • Differentiate between artificial and human intelligence
  • Explore innovative AI applications
  • Discover different AI techniques
  • Assess AI’s impact on business processes through real-world applications
  • Apply key methods for successful AI implementation

Target groups:

Business Analyst, Requirements Engineer, Usability Expert, Scrum Master, AI Expert, Project Manager, Project Director, Demand Manager, Portfolio Manager, IT Project Director, Test Manager, Tester, Test Automation Specialist, Test Engineer, Enterprise Architect, System Architect, Software Architect, Software Designer, Software Developer, Product Owner and for all who are ready to explore the possibilities.

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Syllabus

1. A practical grounding in artificial intelligence (AI) 

  • Distinguish between artificial and human intelligence 
  • Benefits of AI 
  • Weak and strong AI 
  • Difference between AI, machine learning and data science 
  • Challenges and limitations 
  • When does the use of AI pay off?

2. AI in key application areas  

  • Natural language processing and speech recognition
  • Image and facial recognition 
  • Intelligent systems, autonomous systems and robotics 
  • Expert systems

3. Implementing AI

  • Machine Learning
  • Deep Learning
  • Statistics
  • Logic and planning
  • Large Language Models

4. AI’s applications

  • Transport and autonomous vehicles
  • Video games
  • Healthcare
  • Finance
  • Marketing
  • Business and strategy
  • Customer support
  • Smart buildings

5. AI in society

  • Policy and regulation
  • Ethics
  • Data protection

6. AI technologies and machine learning platforms 

  • Google TensorFlow
  • Meta Pytorch
  • IBM Watson
  • Microsoft Azure
  • Amazon AWS
  • AI and Cloud Computing
  • Programming languages

Advising after course completion

Spirit in Projects