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Understanding AI
AI is the most groundbreaking and omnipresent discipline of our time. In this course, we will dive into the rapidly evolving field of AI, demystifying the jargon terms that everyone is talking about. From machine learning to deep learning, explainable AI to natural language processing, generative models, and more, we will cover it all.
Artificial Intelligence Ethics
AI ethics explores the complex intersection of artificial intelligence and ethics. It guides learners through real-world dilemmas, explores practical application of ethical frameworks, and underscores the role of responsible AI in different sectors. Theory meets practice in the realm of AI Ethics.
Implementing AI Solutions in Business
From building an AI strategy to scoping projects and defining prerequisites, you'll gain the skills to identify effective AI use cases and measure business value.
Large Language Models (LLMs) Concepts
Master the pivotal role of Large Language Models (LLMs) in AI with this course. Understand the inner workings, real-world applications, and ethical concerns of LLMs.
Natural Language Processing with SpaCy
Master NLP with spaCy! Learn spaCy architecture, container objects, processing pipelines, and models. Gain hands-on experience with tokenization, tagging, matching, and classification.
Developing R Packages
In this comprehensive course, you will learn how to create your own R packages from start to finish. Whether you're a budding package developer or an experienced R user looking to enhance your workflow, this course is designed to equip you with the essential knowledge and skills to build and share your own packages effectively.
Generative AI Concepts
Learn about generative AI models like GPT-3, DALL-E 2, and Stable Diffusion with this course. Understand the underpinning mechanics and legal/ethical considerations of AI content generation.
Working with the OpenAI API
Master the OpenAI API and unleash the potential of AI models! Gain practical skills in making API requests, optimizing models, and solving real-world problems. Perfect for data scientists, developers, and business professionals.
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