Kurs-ID: TDHPE_HQ7H8S
Kurs Artificial Intelligence Foundation
Artificial Intelligence (AI) is a methodology for using a non human system to learn from experience and imitate human intelligent behavior. This training covers the potential benefits and challenges of ethical and sustainable robust Artificial Intelligence (AI); the basic process of Machine Learning (ML) – Building a Machine Learning (ML) Toolkit; the challenges and risks associated with an AI project, and the future of AI and Humans in work.
This course prepares for the EXIN BCS Artificial Intelligence Foundation certification
Seminarinhalte
Introduction and Course Outline
- Course overview and structure
- Exam information
- Daily schedule
Human and Artificial Intelligence—Part 1
- General definition of AI
- Ethics
- Sustainability
- AI as part of Universal Design and The Fourth Industrial Revolution
- Challenges and risks
Exercise 1
- Opportunities for AI
Human and Artificial Intelligence—Part 2
- Learning from experience
- Applying the benefits of AI
- Opportunities
Ethics and Sustainability – Trustworthy AI—Part 1
- Roles and responsibilities of humans and machines
Ethics and Sustainability – Trustworthy AI—Part 2
- Trustworthy AI
Sustainability, Universal Design, Fourth Industrial Revolution and Machine Learning
- Learning from data, functionality, software and hardware
Exercise Two
- Ethics and sustainability
Artificial Intelligent Agents and Robotics
- AI intelligent agent description
- What a robot is
- What an intelligent robot is
Being Human, Conscious, Competent and Adaptable
- AI project teams
- Modelling humans
Exercise Three
- Human plus machine mindmap
What is a Robot?
- Definition of a robot
- Robot paradigm
Applying the Benefits of AI
- Benefits, challenges and risks
Applying the Benefits of AI
- Opportunities and funding
Building a Machine Learning Toolbox
- How do we learn from data?
Building a Machine Learning Toolbox
- Types of machine learning
Exercise Four
- Define a simple ML problem
Building a Machine Learning Toolbox – Two Case Studies
Building a Machine Learning Toolbox
- Introduction to probability and statistics
Building a Machine Learning Toolbox
- Introduction to linear algebra and vector calculus
Building a Machine Learning Toolbox
- Visualising data
A Simple Neural Network Schematic
- Introduction to neural networks
Exercise Five
- Maturity and funding of an AI system
Open Source ML and Robotic Systems
- Open source software for AI and robotics
Machine Learning and Consciousness
- Introduction to machine learning and consciousness
The Future of Artificial Intelligence
- The human + machine
- What will drive humans and machines to work together
Exercise Six
- Explore the future opportunities for AI and human systems
Learning from Experience
- Agile projects
Conclusion
Exam Practice and Preparation
Examination
Kursthemen
Das Training Artificial Intelligence Foundation ist folgendem Thema zugeordnet:
Lernmethode
Ausgewogene Mischung aus Theorie und praktischen Übungen in technisch einwandfreier Schulungsumgebung, zur Festigung Ihres Lernerfolges. Direkter Austausch mit Trainer.in und anderen Teilnehmenden.
Dauer und Zeiten
3 Kurstage (pro Tag 8 Unterrichtsstunden à 45 Min.)
In der Regel beginnt ein Schulungstag um 9:00 Uhr und endet um 16:30 Uhr.
Schulungsort
Der Schulungsort für das Seminar Artificial Intelligence Foundation ist in unseren Räumen in der Kastanienallee 53 in 10119 Berlin Mitte oder in den Räumen des Kunden, sofern dort eine zu vereinbarende geeignete Schulungsumgebung zur Verfügung steht.
Termine
Ihre allskills Mehrwerte inklusive
- Kostenlose Schnuppersession
- Preisvorteil 3=5
- Anmeldezugabe
- Vollverpflegung bei offenen Präsenzseminaren
- Schulungsunterlage oder Fachbuch falls verfügbar
- Arbeitsmaterialen: Block und Stift
- Teilnahmezertifikat (auch optional als validierbare Online-Version)
- Erfolgsgarantie
- Nachbetreuung