AI with Python: PCEI Exam Preparation
Understand what artificial intelligence really is and try it for yourself in Python.
About this course
Understand what artificial intelligence really is and try it for yourself in Python. Over five days you will learn the ideas behind machine learning and deep learning, prepare data for AI tasks, and train and evaluate simple models with widely used Python libraries.
You will also explore how neural networks and language models work, practise using generative AI tools from code, and examine bias, privacy and responsible use. Practice questions throughout prepare you for the Certified Entry-Level AI Specialist with Python exam.
What you'll learn
- Explain core concepts of artificial intelligence, machine learning and deep learning
- Prepare data for AI tasks using Python
- Train and evaluate simple supervised and unsupervised models
- Describe how neural networks learn
- Use Python libraries to experiment with language and generative AI tools
- Identify ethical risks, bias and responsible-use principles in AI
- Approach the PCEI exam with a clear understanding of its format and question styles
Curriculum
- What AI is and is not
- A short history of AI
- AI, machine learning and deep learning compared
- Everyday applications of AI
- Setting up a Python AI environment
- Jupyter notebooks
- NumPy and pandas essentials
- An overview of AI libraries
- Collecting and labelling data
- Cleaning and preparing datasets
- Features and targets
- Training, validation and test sets
- Supervised learning: classification and regression
- Unsupervised learning: clustering
- Building models with scikit-learn
- Evaluating models with accuracy and error measures
- Neurons, layers and activation functions
- How networks learn from data
- Image and pattern recognition concepts
- Overfitting and how to reduce it
- Natural language processing basics
- Large language models in brief
- Writing effective prompts
- Calling AI services from Python
- Bias and fairness
- Privacy and data protection
- Transparency and explainability
- Human oversight and accountability
- PCEI exam structure and question types
- Timed practice questions
- Reviewing weak areas
- Test-day preparation
Who it's for
Beginners with basic Python who want a practical, well-grounded introduction to AI and the PCEI certification.
Before you start
- Basic Python knowledge, equivalent to the PCEP level
Prepares for
Part of these Alalamia diplomas
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