Artificial Intelligence Level 2

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Final Exam

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• Disclaimer 01:00

  • 1: Disclaimer 01:00

• Lecture 1: Introduction to Artificial Intelligence 08:00

  • 2: Lesson 1: Definition of AI 02:00
  • 3: Lesson 2: Brief history of AI 02:00
  • 4: Lesson 3: AI applications and use cases 02:00
  • 5: Lesson 4: Introduction to Python programming language for AI 02:00

• Lecture 2: Machine Learning 08:00

  • 6: Lesson 1: Introduction to supervised and unsupervised learning 02:00
  • 7: Lesson 2: Linear regression 02:00
  • 8: Lesson 3: Classification algorithms (logistic regression, decision trees 02:00
  • 9: Lesson 4: Clustering algorithms (k-means, hierarchical clustering) 02:00

• Lecture 3: Neural Networks 10:00

  • 10: Lesson 1: Introduction to neural networks 02:00
  • 11: Lesson 2: Feedforward neural networks 02:00
  • 12: Lesson 3: Convolutional neural networks (CNNs) 02:00
  • 13: Lesson 4: Recurrent neural networks (RNNs) 02:00
  • 14: Lesson 5: Deep learning and its applications 02:00

• Lecture 4: Natural Language Processing (NLP) 10:00

  • 15: Lesson 1: Introduction to NLP 02:00
  • 16: Lesson 2: Text pre-processing 02:00
  • 17: Lesson 3: Word embeddings (Word2Vec, GloVe) 02:00
  • 18: Lesson 4: Recurrent neural networks for NLP 02:00
  • 19: Lesson 5: Sentiment analysis and text classification 02:00

• Lecture 5: Computer Vision 08:00

  • 20: Lesson 1: Introduction to computer vision 01:00
  • 21: Lesson 2: Image pre-processing 02:00
  • 22: Lesson 3: Convolutional neural networks for computer vision 02:00
  • 23: Lesson 4: Object detection and recognition 01:00
  • 24: Lesson 5: Image segmentation 02:00

• Lecture 6: Ethics and Societal Implications of AI 08:00

  • 25: Lesson 1: AI and employment 02:00
  • 26: Lesson 2: Bias and fairness in AI 02:00
  • 27: Lesson 3: AI and privacy 02:00
  • 28: Lesson 4: Ethical considerations in AI research and development 02:00

• Assessment 10:00

  • 29: Final Exam 10:00

The Artificial Intelligence Level 2 course delivers an in-depth and engaging introduction to one of the most transformative technologies of the 21st century. Designed for those with little to no background in AI, this course guides learners through the core principles, methods, and ethical considerations that shape artificial intelligence today.

Starting with the fundamentals, you’ll explore the history and development of AI, its key applications, and the role of Python as a preferred programming language. As you progress, you’ll gain foundational knowledge of machine learning—covering supervised and unsupervised learning, linear regression, and popular classification and clustering algorithms.

The course then advances into neural networks, covering feedforward models, convolutional and recurrent architectures, and practical uses of deep learning. You'll also dive into natural language processing (NLP), learning how artificial intelligence interprets text, performs sentiment analysis, and drives applications like chatbots and smart assistants.

In the computer vision module, you’ll work through essential image processing techniques, object detection, and segmentation using convolutional neural networks. The final lecture addresses the societal impact of artificial intelligence, with a strong focus on fairness, bias, privacy, and ethical use in real-world settings.

This comprehensive course offers a strong foundation in artificial intelligence, providing the knowledge required to build, understand, and assess AI-driven systems.

Certification
Upon successful completion of the course, learners will receive an instant, free digital certificate as official recognition of their achievement.

The Artificial Intelligence Level 2 course is perfect for a wide range of learners who are eager to understand how AI is shaping the future:

• Career changers interested in moving into technology, data science, or software development

• Aspiring professionals seeking a foundational course in artificial intelligence before progressing to more advanced study

• Adult learners returning to education with an interest in emerging digital technologies

• Job seekers and recent graduates wanting to stand out in competitive markets by showcasing AI literacy on their CV

This course is especially useful for those who want to gain practical insights into artificial intelligence without needing a technical background. It offers a clear and supportive path into the fundamentals of AI across various industries.

To get started with the Artificial Intelligence Level 2 course, learners will need:

• Basic proficiency in written English

• Access to the internet and a digital device

• Motivation to learn independently in an online environment

No prior knowledge of artificial intelligence or programming is required.

After completing this course, learners can explore entry-level roles such as AI assistant, data technician, or junior analyst. It also lays the groundwork for further study in machine learning, robotics, or data science.

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