Download or read book Building Intelligent Applications with Generative AI written by Yattish Ramhorry and published by BPB Publications. This book was released on 2024-08-22 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications. Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways. KEY FEATURES ● Learn the fundamentals of generative AI and the practical usage of prompt engineering. ● Gain hands-on experience in building generative AI applications. ● Learn to use tools like LangChain, LangSmith, and FlowiseAI to create intelligent applications and AI chatbots. WHAT YOU WILL LEARN ● Understand generative AI (GAI) and large language models (LLMs). ● Explore real-world GAI applications across industries. ● Build intelligent applications with the ChatGPT API. ● Explore retrieval augmented generation with LangChain and Gemini Pro. ● Create chatbots with LangChain and Streamlit for data retrieval. WHO THIS BOOK IS FOR This book is for developers, data scientists, AI practitioners, and tech enthusiasts who are interested in leveraging generative AI techniques to build intelligent applications across various domains. TABLE OF CONTENTS 1. Exploring the World of Generative AI 2. Use Cases for Generative AI Applications 3. Mastering the Art of Prompt Engineering 4. Integrating Generative AI Models into Applications 5. Emerging Trends and the Future of Generative AI 6. Building Intelligent Applications with the ChatGPT API 7. Retrieval Augmented Generation with Gemini Pro 8. Generative AI Applications with Gradio 9. Visualize your Data with LangChain and Streamlit 10. Building LLM Applications with Llama 2 11. Building an AI Document Chatbot with Flowise AI 12. Best Practices for Building Applications with Generative AI 13. Ethical Considerations of Generative AI

Download or read book Mastering Generative AI written by Anand Vemula and published by Independently Published. This book was released on 2024-06-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering Generative AI: Building Intelligent AI Copilots and Practical Applications In "Mastering Generative AI," embark on an insightful journey into the world of generative artificial intelligence, exploring the foundational principles, cutting-edge technologies, and practical applications of AI copilots. This comprehensive guide is designed for both beginners and experienced practitioners who are keen to understand and harness the power of generative AI to create innovative solutions and drive efficiency across various industries. The book begins with an introduction to generative AI, defining its scope, significance, and key terminologies. It delves into the history and evolution of artificial intelligence, highlighting significant milestones that have shaped the field. By understanding the fundamental concepts of machine learning and deep learning, readers gain a solid foundation to appreciate the complexities and capabilities of generative AI. One of the core focuses of the book is the role of AI copilots, intelligent systems designed to assist humans in various tasks. The book outlines the benefits of using AI copilots, such as increased productivity, enhanced accuracy, and continuous learning. Real-world examples and case studies illustrate the practical applications of AI copilots in customer support, healthcare, software development, and creative industries. Readers are guided through the technical process of building a generative AI copilot, from setting up the development environment to data collection, model selection, training, and integration. Detailed tutorials, complete with code examples, help readers build projects like chatbots, content generators, and personal assistants. These hands-on projects provide practical experience and a deeper understanding of how to implement and deploy generative AI solutions. Ethical and legal considerations are thoroughly examined, addressing the implications of generative AI, legal frameworks, compliance, and strategies for ensuring fairness and transparency. The book also explores future trends in generative AI, emerging technologies, and potential applications, preparing readers for the challenges and opportunities that lie ahead. "Mastering Generative AI" is an essential resource for anyone looking to innovate and excel in the AI-driven world. By the end of this book, readers will have the knowledge and tools to build and integrate powerful AI copilots into their workflows, driving forward the next wave of technological advancement.

Download or read book Applications of Generative AI written by Zhihan Lyu and published by Springer Nature. This book was released on with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Building Intelligent Apps with NET and Azure AI Services written by Ashirwad Satapathi and published by Springer Nature. This book was released on with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Leveraging Generative AI for Enterprise Architecture written by Anand Vemula and published by Anand Vemula. This book was released on 2023-08-03 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to understanding the potential of generative AI in the field of enterprise architecture, the possibilities are truly limitless. In this subchapter, we will explore how this technology can be leveraged to transform the way organizations approach their architectural design and decision-making processes. Generative AI, a subset of artificial intelligence, has the capability to generate novel ideas, designs, and solutions based on a given set of parameters and objectives. This can revolutionize the way organizations approach enterprise architecture, as it offers the ability to automate and optimize various aspects of the architectural process. In this subchapter, we will delve into the key concepts and principles of generative AI and its relevance to enterprise architecture. We will explore how this technology can be utilized to streamline the design and decision-making process, reduce time and resources, and ultimately enhance the overall effectiveness of an organization's architectural endeavors. Furthermore, we will discuss the various applications and use cases of generative AI in enterprise architecture. From creating intelligent blueprints to generating optimized architectural designs, this technology can assist architects and organizations in making informed decisions and developing innovative solutions. To fully grasp the potential of generative AI in enterprise architecture, it is crucial to understand the challenges and considerations associated with its implementation. We will address the potential limitations and risks of relying solely on generative AI, while also highlighting the importance of human expertise and collaboration in conjunction with this technology. Lastly, in this subchapter, we will provide practical guidance on how organizations can begin incorporating generative AI into their architectural processes. We will outline the steps and best practices required to successfully implement generative AI solutions, while also emphasizing the need for continuous learning and adaptation.

Download or read book Building Intelligent Cloud Applications written by John Biggs and published by "O'Reilly Media, Inc.". This book was released on 2019-09-10 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the application’s business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure. You’ll learn step-by-step how to code machine learning into your projects using Python and pre-trained models that include tools such as image recognition, speech recognition, and classification. You’ll also examine issues around deployment and continuous delivery including scaling, security, and monitoring. This book is divided into four parts: Cloud-based development: learn the basics of serverless computing with machine learning, functions as a service (FaaS), and the use of APIs Adding intelligence: create serverless applications using Azure Functions; learn how to use pre-built machine-learning and deep-learning models Deployment and continuous delivery: get up to speed with Azure Kubernetes Service, as well as Azure Security Center, and Azure Monitoring Application examples: deliver data at the edge, build conversational interfaces, and use convolutional neural networks for image classification

Download or read book ARTIFICIAL INTELLIGENCE written by PARAG KULKARNI and published by PHI Learning Pvt. Ltd.. This book was released on 2015-02-26 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day-to-day life. But it is accentuated to have a book that keeps abreast of all the state-of-the-art concepts (pertaining to AI) in simplified, explicit and elegant way, expounding on ample examples so that the beginners are able to comprehend the subject with ease. The book on Artificial Intelligence, dexterously divided into 21 chapters, fully satisfies all these pressing needs. It is intended to put each and every concept related to intelligent system in front of the readers in the most simplified way so that while understanding the basic concepts, they will develop thought process that can contribute to the building of advanced intelligent systems. Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future work and trends in AI are now under the single umbrella of this book, thereby showing a nice blend of theoretical and practical aspects. With all the latest information incorporated and several pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and information technology. KEY FEATURES • Highlights a clear and concise presentation through adequate study material • Follows a systematic approach to explicate fundamentals as well as recent advances in the area • Presents ample relevant problems in the form of multiple choice questions, concept review questions, critical thinking exercise and project work • Incorporates various case studies for major topics as well as numerous industrial examples

Download or read book A Developer s Guide to Building AI Applications written by Anand Raman and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Building AI Intensive Python Applications written by Rachelle Palmer and published by Packt Publishing Ltd. This book was released on 2024-09-06 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create powerful AI apps Key Features Get to grips with the fundamentals of LLMs, vector databases, and Python frameworks Implement effective retrieval-augmented generation strategies with MongoDB Atlas Optimize AI models for performance and accuracy with model compression and deployment optimization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications. The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance. By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.What you will learn Understand the architecture and components of the generative AI stack Explore the role of vector databases in enhancing AI applications Master Python frameworks for AI development Implement Vector Search in AI applications Find out how to effectively evaluate LLM output Overcome common failures and challenges in AI development Who this book is for This book is for software engineers and developers looking to build intelligent applications using generative AI. While the book is suitable for beginners, a basic understanding of Python programming is required to make the most of it.

Download or read book Hands On Artificial Intelligence for Beginners written by Patrick D. Smith and published by Packt Publishing Ltd. This book was released on 2018-10-31 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications. What you will learnUse TensorFlow packages to create AI systemsBuild feedforward, convolutional, and recurrent neural networksImplement generative models for text generationBuild reinforcement learning algorithms to play gamesAssemble RNNs, CNNs, and decoders to create an intelligent assistantUtilize RNNs to predict stock market behaviorCreate and scale training pipelines and deployment architectures for AI systemsWho this book is for This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.

Download or read book Building Generative AI Powered Apps written by Aarushi Kansal and published by Apress. This book was released on 2024-04-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers. However, there is a lot of confusion where to get started when building an end-to-end app with generative AI. This book consolidates core models, frameworks, and tools into a single source of knowledge. By providing hands-on examples, the book takes you through the generative AI ecosystem to build applications for production. The book starts with a brief and accessible introduction to transformer models before delving into some of the most popular large language models and diffusions models (image generation). These models are the foundations of both AI and your potential new apps. You will then go through various tools available to work with these models, starting with Langchain, a framework to develop foundational models, which is the next building block you should grasp after understanding generative AI models. The next chapters cover databases, caching, monitoring, etc., which are the topics necessary to build larger-scale applications. Real-world examples using these models and tools are included. By the end of this book, you should be able to build end-to-end apps that are powered by generative AI. You also should be able to apply the tools and techniques taught in this book to your use cases and business. What You Will Learn What is Generative AI? What is ChatGPT and GPT4? What are language models and diffusions models? How do we deploy LangChain and HuggingFace? Who This Book Is For Software engineers with a few years of experience building applications in any language or infrastructure

Download or read book Building Products with Generative AI Kindle Edition written by Anand Vemula and published by Anand Vemula. This book was released on with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Building Products with Generative AI" explores the transformative potential of generative artificial intelligence (AI) in product development. The book delves into various aspects of generative AI, starting with an introduction to Generative Adversarial Networks (GANs) and their applications in product design. It discusses how GANs can generate realistic design variations, explore novel concepts, and enhance creativity and innovation in the design process. Fundamental principles of product design, including design theories, user-centered design methodologies, and design thinking frameworks, are explored to provide a solid foundation for integrating generative AI into the product development pipeline. The book emphasizes the importance of data preparation and training strategies for generative models, highlighting techniques for data collection, curation, preprocessing, and model training. Design generation techniques such as conditional generation, style transfer, and text-to-image synthesis are examined in detail, showcasing how these techniques can be leveraged to generate customized designs, synthesize new design aesthetics, and translate textual descriptions into visual representations. The book also explores how generative AI can be integrated into collaborative design processes, enabling real-time collaboration, feedback loops, and iterative improvement. It addresses ethical and bias concerns in AI-driven design, emphasizing responsible AI development practices to ensure fairness, transparency, and accountability. Through case studies, the book demonstrates real-world applications of generative AI in designing customizable products, providing personalized recommendations, and automating design tasks. It also discusses emerging trends in generative AI, ethical implications, and technical challenges in implementation. In conclusion, "Building Products with Generative AI" offers a comprehensive overview of how generative AI is revolutionizing product development. It provides practical insights, strategies, and techniques for harnessing the power of generative AI to drive creativity, efficiency, and innovation in product design. The book serves as a valuable resource for designers, engineers, and business leaders seeking to leverage generative AI to create groundbreaking products that meet the evolving needs of consumers in the digital age.

Download or read book OpenAI API Cookbook written by Henry Habib and published by Packt Publishing Ltd. This book was released on 2024-03-12 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the vast possibilities of integrating the ChatGPT API across various domains, from creating simple wrappers to developing knowledge-based assistants, multi-model applications, and conversational interfaces Key Features Understand the different elements, endpoints, and parameters of the OpenAI API Build tailored intelligent applications and workflows with the OpenAI API Create versatile assistants with for a multitude of tasks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs artificial intelligence continues to reshape industries with OpenAI at the forefront of AI research, knowing how to create innovative applications such as chatbots, virtual assistants, content generators, and productivity enhancers is a game-changer. This book takes a practical, recipe-based approach to unlocking the power of OpenAI API to build high-performance intelligent applications in diverse industries and seamlessly integrate ChatGPT in your workflows to increase productivity. You’ll begin with the OpenAI API fundamentals, covering setup, authentication, and key parameters, and quickly progress to the different elements of the OpenAI API. Once you’ve learned how to use it effectively and tweak parameters for better results, you’ll follow advanced recipes for enhancing user experience and refining outputs. The book guides your transition from development to live application deployment, setting up the API for public use and application backend. Further, you’ll discover step-by-step recipes for building knowledge-based assistants and multi-model applications tailored to your specific needs. By the end of this book, you’ll have worked through recipes involving various OpenAI API endpoints and built a variety of intelligent applications, ready to apply this experience to building AI-powered solutions of your own.What you will learn Grasp the fundamentals of the OpenAI API Navigate the API's capabilities and limitations of the API Set up the OpenAI API with step-by-step instructions, from obtaining your API key to making your first call Explore advanced features such as system messages, fine-tuning, and the effects of different parameters Integrate the OpenAI API into existing applications and workflows to enhance their functionality with AI Design and build applications that fully harness the power of ChatGPT Who this book is for This book is perfect for developers, data scientists, AI/tech enthusiasts, citizen developers, and no-code aficionados keen on using and mastering the OpenAI API. Whether you’re a beginner or experienced professional, this book is ideal for quickly creating intelligent applications such as chatbots or content generators, through step-by-step recipes that take you from the basics of the API to creating sophisticated applications systematically. The OpenAI API is accessed with Python in this book, so familiarity with Python and APIs is preferred but not mandatory.

Download or read book Hands On Artificial Intelligence with TensorFlow written by Amir Ziai and published by . This book was released on 2018-10-31 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Book Description Artificial Intelligence (AI) is a popular area with an emphasis on creating intelligent machines that can reason, evaluate, and understand the same way as humans. It is used extensively across many fields, such as image recognition, robotics, language processing, healthcare, finance, and more. Hands-On Artificial Intelligence with TensorFlow gives you a rundown of essential AI concepts and their implementation with TensorFlow, also highlighting different approaches to solving AI problems using machine learning and deep learning techniques. In addition to this, the book covers advanced concepts, such as reinforcement learning, generative adversarial networks (GANs), and multimodal learning. Once you have grasped all this, you'll move on to exploring GPU computing and neuromorphic computing, along with the latest trends in quantum computing. You'll work through case studies that will help you examine AI applications in the important areas of computer vision, healthcare, and FinTech, and analyze their datasets. In the concluding chapters, you'll briefly investigate possible developments in AI that we can expect to see in the future. By the end of this book, you will be well-versed with the essential concepts of AI and their implementation using TensorFlow. What you will learn Explore the core concepts of AI and its different approaches Use the TensorFlow framework for smart applications Implement various machine and deep learning algorithms with TensorFlow Design self-learning RL systems and implement generative models Perform GPU computing efficiently using best practices Build enterprise-grade apps for computer vision, NLP, and healthcare Who this book is for Hands-On Artificial Intelligence with TensorFlow is for you if you are a machine learning developer, data scientist, AI researcher, or anyone who wants to build artificial intelligence applications using TensorFlow. You need to have some working knowledge of machine learning to get the most out of this book.

Download or read book AI Mastery written by Yedukondalu Chary and published by Independently Published. This book was released on 2023-01-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "AI Mastery: The Essential Guide to Building Intelligent Systems" is a comprehensive guide to understanding and implementing artificial intelligence in the real world. Whether you're a beginner looking to learn the basics or an experienced professional looking to expand your knowledge, this book has something for you. Inside, you'll find a wealth of information on the key concepts and techniques used in AI, from supervised and unsupervised learning, to deep learning and reinforcement learning. You'll learn about the different types of neural networks and how to train and evaluate them. You'll also discover the latest techniques for data preprocessing, model selection, and parameter tuning. But this book is more than just a collection of technical information. It also provides practical guidance on how to implement AI in your organization, with a focus on ethical considerations and responsible AI. You'll learn about the best practices for identifying and solving problems, gathering data, and deploying and maintaining models. Whether you're a data scientist, software engineer, or business leader, this book will help you understand the power of AI and how to harness it to achieve your goals. With clear explanations, real-world examples, and hands-on exercises, "AI Mastery" is the essential guide to building intelligent systems. So, dive in and start your journey towards AI mastery today! "AI Mastery: The Essential Guide to Building Intelligent Systems" is a comprehensive and in-depth guide to understanding and implementing artificial intelligence. Written by experts in the field, this book covers everything from the basics of machine learning and neural networks to advanced techniques such as deep learning and reinforcement learning. It is perfect for anyone who wants to understand and apply AI in real-world applications, from students and researchers to data scientists and engineers. With clear explanations, practical examples, and hands-on exercises, this book is a must-read for anyone looking to master the field of AI."

Download or read book Mastering AI and Generative AI From Learning Fundamentals to Advanced Applications written by Anand Vemula and published by Anand Vemula. This book was released on with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide dives into the fascinating world of Artificial Intelligence (AI) and its cutting-edge subfield, Generative AI. Designed for beginners and enthusiasts alike, it equips you with the knowledge and skills to navigate the complexities of machine learning and unlock the power of AI for advanced applications. Building a Strong Foundation The journey begins with mastering the fundamentals. You'll explore the different approaches to AI, delve into the history of this revolutionary field, and gain a solid understanding of various subfields like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Delving into Machine Learning Machine learning, the core of AI's learning ability, takes center stage. You'll grasp the difference between supervised and unsupervised learning paradigms, discover popular algorithms like decision trees and neural networks, and learn the importance of data preparation for optimal model performance. Evaluation metrics become your tools to measure how effectively your models are learning. Unveiling the Power of Deep Learning Get ready to explore the intricate world of Deep Learning, a powerful subset of machine learning inspired by the human brain. Demystify neural networks, the building blocks of deep learning, and dive into specialized architectures like Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for handling sequential data. Deep learning frameworks become your allies, simplifying the process of building and deploying complex deep learning models. The Art of Machine Creation: Generative AI The book then shifts its focus to the transformative realm of Generative AI. Here, machines not only learn but create entirely new data. Explore different types of generative models, from autoregressive models to variational autoencoders, and witness their applications in text generation, image synthesis, and even music creation. A Deep Dive into Generative Adversarial Networks (GANs) Among generative models, Generative Adversarial Networks (GANs) have captured the imagination of researchers and the public alike. This chapter delves into the intriguing concept of GANs, where a generator model continuously strives to create realistic data while a discriminator model acts as a critic, ensuring the generated data is indistinguishable from real data. You'll explore the training process, the challenges of taming GANs, and best practices for achieving optimal results. Advanced Applications Across Domains The book then showcases the transformative potential of Generative AI across various domains. Witness the power of text generation with RNNs, explore the ethical considerations surrounding deepfakes, and discover how chatbots are revolutionizing communication. In the visual realm, delve into Deep Dream and Neural Style Transfer algorithms, and witness the creation of realistic images and videos with cutting-edge generative models. Mastering AI and Generative AI empowers you to not only understand these revolutionary technologies but also leverage them for advanced applications. As you embark on this journey, be prepared to unlock the boundless potential of machine creation and shape the future of AI.

Download or read book Building Intelligent Apps with Cognitive APIs written by Anand Raman and published by . This book was released on 2020 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until recently, training and deploying AI models required months of development and a deep understanding of machine learning. No longer. With cognitive APIs, you can infuse your apps, websites, and bots with intelligence using just a few simple lines of code. This practical report introduces cognitive APIs, examines the current landscape, and demonstrates how software developers can work with Microsoft Azure Cognitive Services to create intelligent applications within minutes. Anand Raman and Chris Hoder from Microsoft's AI platform team show how to bring intelligence to your applications without training or hosting your own models. Along the way, you'll work with C# code samples to build intelligent applications using computer vision, text analytics, and conversational samples. If you have a basic understanding of the Azure platform, you're ready to get started. Extract data from images with Azure's powerful vision services Produce speech models for speech-to-text, text-to-speech, and real-time translation services Analyze, understand, and translate text with Azure's language APIs Build apps that provide recommendations for informed and efficient decision making Use Bing APIs to search for images-or use an image to conduct a search Explore use cases that show how companies have used Azure Cognitive Services to transform their business offerings.