
Explore how intelligence enables acquiring, learning, understanding, and applying knowledge to solve problems and adapt to new situations. See how artificial intelligence trains machines from data to learn and reason.
Discover common ai workloads—machine learning, computer vision, natural language processing, and generative ai—and explore real-world use cases from chatbots to code generation.
Machine learning, a branch of artificial intelligence, learns patterns from data to make predictions without explicit programming. It powers spam filters, recommendations, fraud detection, and autonomous cars.
Explore how convolutional neural networks use convolutional and pooling layers to extract edges and textures, reducing parameters for image classification and object detection.
Generative AI hinges on data and transformer advances, with data explosion powering models like GPT-4 and DALL-E to transform healthcare, finance, entertainment, and productivity, automating routine tasks and boosting creativity.
Unlock the world of Artificial Intelligence with this beginner-friendly course that lays the foundation for AI, Machine Learning, and Prompt Engineering. Whether you're a student, a professional, or simply curious about the AI revolution, this course will equip you with essential knowledge and practical skills to thrive in the AI landscape.
The "Foundation of AI, Generative AI & Prompt Engineering" course is designed for beginners and AI enthusiasts who want to build a strong understanding of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI without requiring any prior coding or AI/ML knowledge. This course covers the fundamentals of AI, different types of Machine Learning (ML), Neural Networks, and the latest advancements in Generative AI, including Transformers and Large Language Models (LLMs). Participants will also learn about popular AI models from OpenAI, Microsoft, Google, and Meta. A key focus of the course is Prompt Engineering, equipping learners with techniques to interact effectively with AI models. By the end of the course, participants will gain practical insights and hands-on skills to leverage AI-powered tools and models in real-world applications.
What you’ll learn:
Introduction to the core concepts of AI & ML
Understand the algorithms behind Machine Learning models
Explore how Artificial Neural Networks mimic human thinking
Get a solid overview of Generative AI and its real-world impact
Discover popular LLMs like OpenAI GPT, Google Gemini, and more
Learn how to perform Function Calling using OpenAI APIs
By the end of the course, you’ll have a strong grasp of foundational AI concepts and hands-on experience with the tools that power modern AI applications.