Learn Generative AI with LLMs

Edureka via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

16 weeks, 5 hours a week

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Overview

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The Generative AI with LLMs Specialization explores the evolving landscape of artificial intelligence with a focus on Natural Language Processing (NLP) and generative models. The curriculum is designed to deepen understanding of machine learning and NLP concepts, while building foundational knowledge in generative AI. The program also examines the architecture, applications, and ethical considerations of large language models (LLMs), helping learners evaluate model performance and apply these tools across various domains. Through modules covering machine learning and NLP fundamentals, generative AI foundations, architecture, application development, and tools like ChatGPT, MidJourney, and GitHub Copilot, learners gain practical exposure to real-world use cases.

Syllabus

Course 1: Machine Learning and NLP Basics
Course 2: Generative AI Foundations
Course 3: Generative AI Architecture and Application Development
Course 4: Generative AI Applications and Popular Tools

Courses

0 reviews
19 hours 31 minutes
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The Machine Learning and NLP Basics course is a learning resource designed for individuals interested in developing foundational knowledge of machine learning (ML) and natural language processing (NLP). This course is ideal for students, data scientists, software engineers, and anyone seeking to build or strengthen their skills in machine learning and natural language processing. Whether you are starting your journey or seeking to reinforce your foundation, this course provides practical skills and real-world applications. Throughout this course, participants will gain a solid understanding of machine learning fundamentals, explore various ML types, work with classification and regression techniques, and engage in practical assessments. 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. Learners are expected to have a basic understanding of programming. Familiarity with Python and AI fundamentals is helpful but not required. It is designed to equip learners with the skills and confidence necessary to navigate the evolving landscape of AI and data science, laying a strong foundation for further learning and professional growth.
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11 hours 50 minutes
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Welcome to the Generative AI Applications and Popular Tools course, your learning resource for actionable skills in chatbot technology including RASA, GPT-3, and OpenCV with an in-depth exploration of current Generative AI tools like MidJourney, GitHub Copilot, DALL·E, and more. Throughout this course, You will gain hands-on experience in building chatbots, using GPT-3 for advanced conversational AI, and developing image analysis projects with OpenCV. You will also discover how cutting-edge tools like MidJourney and DALL·E 2 transforms content creation, programming, and digital art. Ethical practices and real-world examples are included so you understand not just what these tools can achieve, but how to use them responsibly and effectively. Key outcomes include: - Build sophisticated chatbots with RASA and adapt them for real-life interaction scenarios. - Leverage GPT-3’s API to create dynamic conversational agents for various applications. - Apply OpenCV for practical image and video analysis tasks, including solutions for identification and detection. - Utilize popular tools like MidJourney, GitHub Copilot, DALL·E 2, Bard, and more, for next-level results in image generation, programming, and creative content automation. - Understand and apply ethical considerations for responsible use of Generative AI art and content technologies. This course is ideal for chatbot hobbyists, AI enthusiasts, developers, data scientists, and digital artists aiming to advance their real-world skills. The course content is approachable for beginners, while offering depth for experienced professionals. A basic understanding of programming and AI concepts is helpful, but not mandatory for success in this course. All learners are welcome, no matter your starting point, You will find clear pathways to apply these tools in your projects and career.
1 review
13 hours 1 minute
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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.
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9 hours 8 minutes
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Generative AI Foundations is a comprehensive course designed to provide learners with a strong foundation in Generative Artificial Intelligence, covering key principles, core methodologies, and real-world applications across multiple domains such as text, images, audio, and code. Ideal for beginners and professionals alike, this course explores how Generative AI models like GANs, VAEs, and transformers are transforming industries through content creation, automation, and innovation. By the end of this course, you will have acquired the knowledge and skills to: - Grasp the foundational concepts and technical intricacies of Generative AI, including its advantages and limitations. - Apply Generative AI for code generation, enhancing your programming efficiency and creativity in Python and other languages. - Master the art of prompt engineering to optimize interactions with AI models like ChatGPT, leading to improved outcomes in code generation and beyond. - Utilize ChatGPT for learning and mastering Python, data science, and software development practices, thereby broadening your technical skill set. - Explore the revolutionary fields of Autoencoders and Generative Adversarial Networks (GANs), understanding their architecture, operation, and applications. - Dive into the world of language models and transformer-based generative models, gaining insights into their mechanisms, applications, and impact on the future of AI. This course is meticulously crafted to cater to a broad audience, including software developers, data scientists, AI enthusiasts, and professionals seeking to leverage Generative AI technologies for innovative solutions. While prior knowledge of Generative AI Fundamentals or Python Coding is helpful, but it is not a prerequisite to complete the course. Whether you're looking to enhance your existing skills or embark on a new career path in the field of AI, this course will provide you with the knowledge, practical skills, and confidence to succeed. Join us on this exciting journey into the world of Generative AI!