What you'll learn:
AI Fundamentals
Machine Learning Types
Generative AI Fundamentals
Demo Lab on Machine Learning

Requirements:
No Programming experience needed

Description:
Generative AI refers to a type of artificial intelligence technology that can generate new content based on the data it has been trained on. This includes text, images, music, video, and other forms of media. The AI learns from a large dataset to recognize patterns, styles, or features and then uses this understanding to create new, original content that mimics the input it has studied.The course will present you with a foundational understanding of AI. The course has several modules where you will be explained basic concepts around AI, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs) .The Topics that will be covered are as follows:Machine Learning and Deep LearningExplain the key concepts and terminologies of Machine LearningExplain the key concepts and terminologies of Deep LearningWhat is Supervised Machine LearningWhat is UnSupervised Machine LearningWhat is Re-inforcement Machine LearningIdentify common Machine Learning typesDemo Using the Iris Case StudyGenerative AI and Large Language ModelsUnderstand the fundamentals of Generative AIPredictive AI Vs Generative AIWhat is Embedding ?What are Vector Databases ?Understanding the relationship between Embedding & Vector DatabasesExplain Large Language Model conceptsExplain the role of prompt engineering and fine-tuning in Generative AI

Who this course is for:
Beginners to Generative AI
Beginners to OpenAI / ChatGPT