AI Essentials: A Beginner's Guide to Artificial Intelligence

Get a clear picture of what you’ll learn and accomplish in this section.

Learn the difference between AI and machine learning with simple examples and visuals.

Discover why data is the fuel for AI.

Understand how algorithms help AI make decisions using relatable examples.

Learn how neural networks work and why they’re essential in AI.

This lecture, is a recap of what you have learned in this section.

Overview of what we'll be covering in this section.

Explore tools to start working on AI projects, whether or not you want to code.

Learn about AI tools you can use today to save time and boost creativity.

This lecture, is an overview of what you will learn in this section.

Learn how to identify and choose a real-world problem for your AI project.

Find and prepare data for your AI project through practical steps.

Build and evaluate your first AI model using beginner-friendly tools.

In this lesson, we'll emphasize the significance of showcasing your AI project and make it accessible via deployment. Effective visualization and strong communication skills are key components to convey your project's value.

This lecture, is a recap of what you have learned in this section.

This lecture, is an overview of what you will learn in this section.

Explore emerging AI trends, including healthcare innovations, autonomous systems, NLP, and AI's role in finance and education. Stay ahead with insights into AI's latest advancements and applications.

Discover AI's societal impact, from daily life to workplaces. Learn how AI transforms industries, reshapes job roles, and introduces ethical challenges. Explore its future potential and role in shaping society.

Explore the key ethical challenges and governance in AI. Learn about frameworks that ensure responsible AI development and deployment while promoting transparency and accountability.

Discover how to prepare for an AI-driven future. This lesson covers the impact of AI on industries and daily life, the skills you need to thrive, and how policies shape AI use. Learn practical steps to integrate AI into your personal and professional life effectively.

In this lecture, we’ll be comparing the human brain and neural networks, in an attempt to better understand how AI achieves this great functionality, that is deep learning.

In this lecture, we’ll explore why explainability in AI is essential, the techniques available to demystify AI, and the real-world applications and implications of explainable AI. Let’s dive in and uncover the insights behind the AI black box.

In this lecture and live demonstration, we enter a more practical level in the AI field, where we develop step-by-step a simple yet effective Python application that converts text to speech while adjusting the tone based on sentiment analysis, that is a technology of Natural Language Processing (NLP).

In this lecture, we’ll explore what Agentic AI is, its defining trends, characteristics, and how it enhances automation. We’ll also examine the sectors it will revolutionize and the challenges we must address to implement it responsibly.

In this lecture, I’ll walk you through a demo implementation of how to use LangChain to connect to the Microsoft Learn Docs MCP server, discover available tools, and invoke a semantic documentation search.

This lecture, is an overview of what you will learn in this additional module.

In this lesson, we'll delve into the exciting world of career opportunities in AI. You'll discover various AI career paths and the skills and qualifications needed to excel in this dynamic field. We'll also explore the potential for career growth and development in AI, paving the way for your own success. Additionally, we'll guide you in building a personalized AI career plan, ensuring you're on the right path to a fulfilling and thriving AI career. Join us to unlock the vast potential that AI offers in shaping your professional journey.

In this lesson, we'll explore the power of joining AI communities, understanding the key advantages they offer. You'll discover the immense benefits of knowledge sharing, networking opportunities, and community support. These connections will not only foster professional growth but also enhance your skills in real-world problem-solving. Join us to harness the collective wisdom of AI communities and propel your journey in the AI landscape.

In this lesson, we'll chart the next steps in your AI journey, guiding you towards a successful future in this dynamic field. We'll emphasize the importance of continual learning and specialization, ensuring you stay at the cutting edge of AI. You'll also learn how to apply your knowledge practically, establish valuable networking connections, and explore the significance of mentorship and leadership. Join us to build a roadmap for your continued growth and impact in the world of AI.

This lecture, is a recap of what you have learned in this section.

Explore innovative concepts in human-AI collaboration, shaping the future of teamwork.

In this lecture, I share a useful infographic I created, regarding the ethical dilemmas of Artificial Intelligence, as well as techniques that can lead to a more responsible development of Artificial Intelligence systems.

Explore AI's diverse learning methods in our enlightening lecture. From supervised to self-supervised learning, discover key concepts with this engaging infographic.

In this lecture, we'll be exploring the evolution of data processing from mainframes to the era of Big Data, culminating in the transformative impact of Artificial Intelligence and Machine Learning in the 2020s.

In this special topic, we’ll be discussing about how AI can enhance Financial Services.

In this lecture, you'll be learning how AI evolved over the years, to the transformative technology as we know it today.

In this lecture, we’ll be discussing about how collaborative intelligence is transforming the workplace.

In this lecture, we'll be discussing about prompt engineering techniques and how they affect the quality of chatbot responses.

In this lecture, we dive into AI inference - the process that enables AI to analyze new, unforeseen data and make intelligent choices.

In this lecture, we'll be demystifying AI agents by answering a common question: What’s an AI agent, and how is it different from regular software?

In this lecture, we'll be discussing about the different layers of Artificial Intelligence, their main characteristics, and why is important to identify them.

In this lecture, we are diving into a crucial topic, that is how we can harness AI as a powerful teammate, not just a tool.

In this lecture, we’re exploring the past, present, and future of Collaborative Intelligence — the journey from static tools to dynamic human–AI ecosystems.

In this lecture, we'll be discussing about the power of explainability in AI leadership and how it turns numbers into strategy.

In this lecture, we’ll explore what it really takes to build trustworthy AI systems—from the raw data all the way to responsible governance. This is the true architecture of modern intelligence.

In this session, I’ll share five practical truths that determine whether AI adoption creates value — or remains just an experiment.

In this video, I’ll walk you through the core building blocks you’ll find in almost every GenAI solution, regardless of the tools you use.

This lecture, is a recap of what you’ve learned in this course.

Bonus Lecture.