BCS Essentials Certificate in Artificial Intelligence Preparation Training Course
The BCS Essentials Certificate in Artificial Intelligence is an entry-level certification course that provides foundational knowledge of AI concepts, including basic terminology, the process of machine learning, and the ethical considerations surrounding AI projects.
This instructor-led, live training (online or onsite) is aimed at beginner-level IT professionals who wish to learn about the potential benefits, risks, and challenges of implementing AI projects.
By the end of this training, participants will be able to:
- Understand the fundamental concepts, techniques, and ethical considerations of AI.
- Be familiar with real-world applications and challenges in AI.
- Gain confidence to take the BCS Essentials Certificate in Artificial Intelligence exam.
- Develop a practical approach to AI implementation in their professional environments.
NobleProg is a BCS Accredited Training Provider.
This course will be delivered by an expert NobleProg trainer approved by BCS.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to AI
- What is Artificial Intelligence?
- Key milestones in AI development
- AI vs. Machine Learning vs. Deep Learning
- Types of AI: Narrow AI, General AI, and Superintelligent AI
Fundamental AI Concepts
- Data, Algorithms, and Models
- Machine Learning fundamentals: Supervised, Unsupervised, and Reinforcement Learning
- Neural networks and Deep Learning basics
- Natural Language Processing (NLP) overview
AI Applications in Real World
- AI in healthcare, finance, retail, and transportation
- Intelligent virtual assistants and chatbots
- AI in business analytics and decision-making
Preparing Data for AI
- Data quality and preprocessing
- Structured vs. unstructured data
- Data ethics and biases
- Data collection and labeling methods
AI Ethics and Governance
- Ethical concerns in AI development
- Bias in AI models and algorithms
- Regulatory frameworks and governance in AI
- AI accountability and transparency
AI Tools and Technologies
- Overview of popular AI frameworks
- Introduction to AI platforms (Google AI, Microsoft Azure, IBM Watson)
- Basics of automation and RPA (Robotic Process Automation)
AI Risks, Security, and Challenges
- Security challenges in AI systems
- Risks of over-reliance on AI
- Socioeconomic impact of AI adoption
- AI model performance issues and monitoring
BCS Exam Preparation and Practice
- BCS exam format and structure
- Sample questions and practice quizzes
- Key areas to focus on for the exam
- Final preparation tips and strategies
Summary and Next Steps
Requirements
- No prerequisites required
Audience
- IT professionals
- Business analysts
- Project managers
7 Hours
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