AI Foundation – Building the Basics of Artificial Intelligence
Kickstart your journey into the world of Artificial Intelligence with our AI Foundation course. Designed for beginners, this course introduces key AI concepts, machine learning basics, and practical tools. Gain foundational knowledge to understand AI’s potential and explore its applications in real-world scenarios. Perfect for aspiring professionals eager to embrace AI’s transformative power.
- Begin your AI journey with essential concepts and hands-on coding.
- Learn Python, explore machine learning, and understand AI ethics.
- Build your first machine learning model in a guided project.
- Course duration: 4 weeks
- Become a Certified AI Foundations Specialist.
AI Foundation Course
AI Foundation Course Overview
- AI Foundations & Applications – Explore AI evolution, key concepts, Machine Learning, NLP, and Computer Vision.
- Python for AI & Data Analysis – Master Python with NumPy, Pandas, and Matplotlib for data handling and EDA.
- Machine Learning Essentials – Learn ML lifecycle, key algorithms, model evaluation, and overfitting prevention.
- Ethical AI & Bias – Understand AI fairness, transparency, and bias detection using LIME and SHAP.
AI Foundation Course Outline
Module 1: Introduction to Artificial Intelligence
- Explore the evolution of AI and its types (Narrow AI, General AI, Superintelligent AI).
- Understand AI concepts: AI vs. ML vs. DL vs. Data Science.
- Dive into AI subfields like Machine Learning, NLP, and Computer Vision.
- Discuss emerging trends, including Generative AI and Ethical AI.
- Practical: Identify AI use cases in different industries through group discussion.
Module 2: Python for AI and Data Analysis
- Learn Python basics and essential libraries (NumPy, Pandas, Matplotlib).
- Master data handling, cleaning, and exploratory data analysis (EDA).
- Practical: Analyze a dataset (e.g., housing prices or Titanic) to uncover insights.
Module 3: Basics of Machine Learning
- Understand ML types, lifecycle, and core algorithms (linear regression, decision trees).
- Learn model evaluation metrics (accuracy, precision, recall) and address overfitting.
- Practical: Build a simple linear regression model to predict housing prices.
Module 4: Understanding AI Ethics and Bias
- Explore the societal impact of AI and the risks of bias in algorithms.
- Learn ethical principles like fairness, transparency, and accountability.
- Analyze explainable AI tools (e.g., LIME, SHAP).
- Practical: Study real-world cases of AI bias and its impact on decision-making.
- Location – Leeds, UK
- Duration – 8 Days
- Timing – 9:00 to 17:00
- Price – £4660
- Duration – 8 Days
- Timing – 9:00 to 17:00
- Price – £4380
What’s Included in the AI Foundations Course:
- Flexible Learning / Flexible Delivery
- Choose between self-paced modules or live instructor-led sessions with hands-on projects.
- Access recorded lessons and mentor support for flexible, personalized learning.
- Exam Preparation
- Strengthen understanding with structured revision, practice quizzes, and mock tests.
- Focus on AI fundamentals, Python for AI, ML basics, and ethical AI considerations.
- Certification
- Earn an industry-recognized AI Foundation certification upon course completion.
- Validate your knowledge in AI principles, applications, and ethical frameworks.
Prerequisites for AI Foundations Course
- Basic Programming Knowledge
- Familiarity with programming concepts like loops, functions, and variables (Python knowledge is a plus but not mandatory).
- Mathematics Fundamentals
- Understanding of basic linear algebra, probability, and statistics (e.g., mean, median, and standard deviation).
- Analytical Skills
- Ability to analyze and interpret data patterns using simple tools like Excel or Google Sheets.
- Interest in AI
- A keen interest in learning AI concepts and their real-world applications across industries.
- Hardware and Software Requirements
- A laptop or computer with at least 8GB RAM, i5 processor, and a stable internet connection.
- Familiarity with basic online tools like Zoom, Slack, or Google Workspace.
- Optional Bridge Course:
- Beginners can join our AI Foundations Bootcamp, which covers Python basics, math for AI, and data handling techniques.
Each participant of this course will have to attend and pass one project and one exam to complete the module and attain the certification.
Module Project (50%)
- Duration: Throughout the course
- Type: Practical project based on the contents of the module- Build a simple machine learning model (For example: Building a loan eligibility predictor)
- Pass mark: 65%
Certification Exam (50%)
- Duration: 60 minutes
- Type: 40 multiple choice questions
- Pass mark: 65% (26/40)