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via Udemy |
Go to Course: https://www.udemy.com/course/genai-openai-chatgpt/
The Coursera course on Generative AI offers an comprehensive, hands-on introduction to some of the most advanced technologies in artificial intelligence today. Designed to cater to both beginners with some Python experience and seasoned developers, this course provides a detailed roadmap to mastering Generative AI tools and techniques, including the OpenAI API, DeepSeek, ChatGPT, and GPT-4 with Vision capabilities. ### Course Content and Structure The course is divided into five main sections, each targeting a critical aspect of AI development: 1. **Basic API Usage** This section covers essential foundational skills such as setting up API accounts, managing billing and usage policies, and integrating the API into Python applications. A noteworthy component is the chatbot tutorial, demonstrating how to embed chat history for more natural, context-aware conversations—an invaluable skill for developing customer service bots. 2. **Prompt Engineering** The course dives into techniques for crafting effective prompts to steer AI outputs, featuring diverse use cases like structured data output, sentiment analysis, language translation, creative writing, and more. Special attention is given to advanced prompting strategies like chain-of-thought prompting and even building complex systems like a stock trading bot. 3. **Retrieval Augmented Generation (RAG)** This section addresses mitigating AI hallucinations by integrating external data into models. Students will learn semantic search using FAISS and how to enable LLMs to "chat" with proprietary data—crucial for industry applications requiring data privacy and accuracy. 4. **Fine-Tuning** For those looking to customize models beyond prompt engineering, this part teaches how to fine-tune larger models on specific datasets to achieve desired behaviors and performance. 5. **GPT-4 with Vision** A highlight of the course, this segment explores GPT-4's multimodal capabilities, including image understanding, with practical applications like automated grading, meme analysis, handwriting transcription, and web development enhancements. ### What Makes This Course Stand Out? - **Hands-on Exercises:** Practical projects reinforce learning, ensuring users can apply concepts immediately. - **Real-world Applications:** From chatbots to data integration, the course emphasizes industry-relevant skills. - **Expert Guidance:** Led by experienced instructors, students will gain insights into cutting-edge AI techniques. - **Flexible Learning Path:** Suitable for developers, AI enthusiasts, and professionals aiming to integrate AI into their work. ### Who Should Take This Course? - Developers interested in AI and machine learning - Business professionals seeking to leverage Generative AI for automation - Industry practitioners wanting to stay at the forefront of AI technology - Anyone with basic Python skills eager to explore the possibilities of AI ### Recommendation I highly recommend this course for anyone looking to deepen their understanding of Generative AI and build practical skills in AI development. The comprehensive curriculum, combined with real-world projects, makes it an excellent investment for advancing your career or business capabilities. Whether you're developing chatbots, enhancing data workflows, or exploring multimodal AI applications, this course provides the tools and knowledge to succeed in the rapidly evolving AI landscape. ### Final Thoughts Embark on this exciting AI journey today and unlock the transformative potential of Generative AI. With its structured learning approach and expert guidance, you'll be well-equipped to innovate and excel in any AI-driven project.
Welcome to the forefront of artificial intelligence with our groundbreaking course on Generative AI (GenAI), the OpenAI API, DeepSeek, and ChatGPT. With ChatGPT and DeepSeek, you'll learn how to build with the world's most advanced Large Language Models (LLMs). This course is a must-have if you want to know how to use this cutting-edge technology for your business and work projects.This course contains 5 main sections:Basic API Usage: All the fundamentals: signup for an account, get your API key, set environment variables on Windows / Linux / Mac, using the API in Python, setup billing, understand the pricing model, and OpenAI's usage policies. Of note is the chatbot tutorial, which goes over how to incorporate chat history into the model so that ChatGPT "remembers" what it said to you previously. A customer service chatbot will serve as a running example throughout this course.Prompt Engineering: ChatGPT Prompt Engineering for Developers - All about how to make ChatGPT do what you want it to do. We'll explore various example use-cases, such as getting ChatGPT to output structured data (JSON, tables), sentiment analysis, language translation, creative writing, text summarization, and question-answering. We'll explore techniques like chain-of-thought (CoT) prompting, and we'll even look at how to use ChatGPT to build a stock trading system!Retrieval Augmented Generation (RAG): Learn how to incorporate external data into LLMs. This powerful technique helps mitigate a common problem called "hallucination". It's critical if you have proprietary data (like product info for your company) that your LLM doesn't know about. You'll learn how semantic search / similarity search works, and how to implement it using FAISS (Facebook AI Similarity Search library). Learn how this will allow you to "chat with your data".Fine-Tuning: Learn how to "train" an LLM on your own dataset so that it behaves the way you want it to. Sometimes prompt engineering and RAG won't cut it.GPT-4 with Vision: Everything in this course can be done with GPT-4, but what makes GPT-4 (and GPT-4 Turbo) special is its vision capabilities. That is, it can understand images. In this section, we'll explore many of the amazing applications of combined text-image understanding, some of which include automated homework grading, explaining memes and humor, handwriting transcription, web development, game development, and writing product descriptions based on images (business owners - you already know how this will skyrocket your productivity).Throughout this course, you'll engage in hands-on exercises, real-world applications, and expert guidance to solidify your understanding and mastery of generative AI concepts. Whether you're a seasoned developer, aspiring AI enthusiast, or industry professional, this course offers a transformative experience that will empower you to harness the true potential of AI.Are you ready to embark on this exhilarating journey into the future of AI? Join us and unlock the endless possibilities of Generative AI today!Suggested Prerequisites:Python coding