Learn Generative AI with LLMs

Welcome to the "Machine Learning and NLP Basics" course, a comprehensive learning resource designed for enthusiasts keen on mastering the foundational aspects of machine learning (ML) and natural language processing (NLP). This course is structured to provide a deep dive into the core concepts, algorithms, and applications of ML and NLP, preparing you for advanced exploration and application in these fields. Throughout this course, participants will gain a solid understanding of machine learning fundamentals, dive into various ML types, explore classification and regression techniques, and wrap up with practical assessments. Additionally, the course offers an in-depth look at deep learning concepts, TensorFlow usage, digit classification with neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. We'll also cover essential NLP topics, including text mining, text preprocessing, analyzing sentence structure, and text classification. By the end of this course, you will be able to: -Understand and apply core concepts of machine learning and NLP. -Differentiate between various types of machine learning and when to use them. -Implement classification, regression, and optimization techniques in ML. -Utilize deep learning models for complex problem-solving. -Navigate TensorFlow for building and training models. -Explore CNNs and RNNs for image and sequence data processing. -Explore NLP techniques for text analysis and classification. This course caters to a wide audience, including students, budding data scientists, software engineers, and anyone with an interest in machine learning and natural language processing. Whether you're starting your journey in ML and NLP or looking to solidify your foundational knowledge, this course offers valuable insights and practical skills. Learners are expected to have a basic understanding of programming concepts. Familiarity with Python and fundamental artificial intelligence concepts will be beneficial but is not mandatory. The course is divided into four modules, each focusing on different aspects of machine learning, deep learning, and natural language processing. Each lesson includes video lectures, readings, practical assignments, and discussion prompts to foster interactive learning and application of concepts. Embark on this educational journey to explore the fascinating world of machine learning and natural language processing. This course is designed to equip you with the knowledge and skills necessary to navigate the evolving landscape of AI and data science, setting a strong foundation for further exploration and innovation.

Welcome to the 'Generative AI Applications and Popular Tools' course, learning resource for mastering the intricacies of chatbot technology, including RASA, GPT-3, and OpenCV, along with an in-depth exploration of popular Generative AI tools like MidJourney, GitHub Copilot, DALL·E 2, and more. In this immersive course, participants will embark on a detailed exploration into the world of chatbot creation and the utility of cutting-edge Generative AI tools across various domains. By the end of this course, you will be empowered to: -Learn the art of building sophisticated chatbots using RASA, understanding its architecture, and how to tailor chatbots for diverse interaction scenarios. -Dive into the capabilities of GPT-3, leveraging its API for creating dynamic and intelligent conversational agents that can serve a multitude of purposes. -Gain practical skills in OpenCV for developing applications like Criminal Identification and Detection, exploring its vast applications in image and video analysis. -Get acquainted with popular Generative AI tools including MidJourney, GitHub Copilot, DALL·E 2, Bard, and others. Learn how these tools can revolutionize Image generation, content creation, programming, and more. -Delve into MidJourney's capabilities, from setup and subscription to using its commands and parameters for generating unique AI art. Understand ethical considerations in using Generative AI art tools. -Through practical examples and case studies, apply what you've learned in real-world scenarios, understanding the strengths and limitations of each tool. This course is meticulously designed for a broad audience, ranging from chatbot hobbyists and AI enthusiasts to software developers, data scientists, and digital artists. Whether you're a beginner looking to make your first chatbot or a professional aiming to integrate Generative AI into your projects, this course offers a structured approach to gaining comprehensive knowledge and practical skills. Prerequisites: A basic grasp of programming and artificial intelligence concepts is beneficial but not strictly necessary for this course. Join us on this educational journey to unlock the potential of chatbots and Generative AI tools, propelling your skills and positioning you at the forefront of technological innovation.

Welcome to the 'Generative AI Architecture and Application Development' course, your gateway to mastering the advanced landscape of Generative AI and their transformative applications across industries. In this immersive course, participants will journey through the comprehensive world of LLMs, gaining insights into their foundational architecture, training methodologies, and the spectrum of applications they empower. By the end of this course, you will be equipped with the knowledge to: - Grasp the architectural nuances and training intricacies of Large Language Models, setting a solid foundation for understanding their capabilities and limitations. - Apply LLMs to a variety of tasks including search, prediction, and content generation, showcasing the versatility and power of generative AI in solving complex challenges. - Leverage the LangChain library to streamline the development of LLM applications, enhancing efficiency and innovation in your projects. - Explore advanced data interaction techniques using Retrieval-Augmented Generation (RAG), enriching the functionality and intelligence of LLM outputs. - Critically assess LLM performance, employing robust evaluation strategies to ensure your AI solutions are both effective and ethically aligned. This course is designed for a wide audience, from AI enthusiasts and software developers to data scientists and technology strategists seeking to deepen their expertise in generative AI and LLMs. Whether you are new to the field or looking to expand your knowledge, this course offers a structured path to enhancing your proficiency in leveraging LLMs for innovative solutions. A basic understanding of artificial intelligence concepts and familiarity with programming concepts are beneficial but not mandatory to complete this course. Embark on this educational journey to unlock the full potential of Large Language Models and Generative AI, propelling your professional growth and positioning you at the forefront of AI innovation.