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This course introduces MLOps tools and best practices for deploying, evaluating, monitoring, and operating ML systems in production on Google Cloud. MLOps is a discipline focused on deploying, testing, monitoring, and automating ML systems in production. Participants will practice using Vertex AI Feature Store streaming ingestion at the SDK level.

This course introduces you to Vertex AI Studio, a tool for building and customizing models based on generative AI. Through comprehensive lessons, engaging demos, and a hands-on lab, you'll learn an AI workflow and how to use Vertex AI Studio for multimodal Gemini applications, prompt design, and model tuning. The goal is to show you how to leverage the potential of these models in your projects using Vertex AI Studio.

This course is designed to enhance your skills by integrating AI chatbots into your development process. You’ll learn about how large language models (LLMs) work and how this general-purpose technology can be applied to common software development tasks to help boost productivity, creativity, and support you in your career. By the end of this course, you will be able to: - Understand the differences between machine learning and traditional software development - Describe how large language models generate text - Prompt an LLM to assist in the tasks that make up the software developer role - Guide an LLM to complete a task in a specific way by writing detailed prompts and iterating to improve output - Leverage the depth of software development knowledge encoded in an LLM by prompting it to assume specific job roles or personas - Write code quickly using an LLM as a pair-coding partner - Analyze code for efficiency, security, and performance using an LLM By knowing how machine learning systems work, and an understanding of how they can be applied in software development, you’ll be able to use them more effectively to support your growth and work as a developer or engineer.

The global recommendation engine market is predicted to grow 37% annually through 2030 (Straits Times). The expertise to predict user preferences and drive engagement using AI recommendation system skills has become an essential business need and a highly sought-after skill using vector databases. In this IBM mini-course, you’ll create two shareable projects that demonstrate your proficiency and readiness to develop AI-powered recommendation systems.  You’ll get step-by-step instructions to create a real-life inspired food ordering recommendation system using Chroma DB and Hugging Face models. For your final project, you’ll use Chroma DB or your choice of PostgreSQL, Cassandra, or MongoDB to create a real-life job search recommendation system. This will demonstrate your ability to generate embeddings and implement similarity searches using Hugging Face natural language processing (NLP) algorithms. Ready to start? Bring your vector, NoSQL, or relational database vector search skills to this course.  If you don't already have these skills, you can attain these skills in other Vector Databases Fundamentals Specialization courses.  Enroll today in this mini-course to advance your AI career!

In this 1-hour guided project, you'll learn how Facebook Pixel works. You'll know how to create Facebook Pixel, use Pixel data effectively, and track your website visitors. By the end of this guided project, you will be able to create a Facebook Pixel, use Pixel data effectively, and track your website visitors using Facebook Pixel.

You know how to develop in Javascript, you have already heard about Node.js and you want to create a Chatbot with your own hands? This is the course for you! At the end of this course, you will be able to manage from A to Z your own autonomous Chatbot created by your own hands and hosted by you! ★ 0 RISK ➔ 30-day money back guarantee ★ ★★ This month's Best Sellers Badge : 120+ students registered and satisfied! ★ ★ ★ ★ ★ The only course in French that gives you all the cards in hand & tips to create a quality & intelligent ChatBot for free! ★ ★ ★ Ready-to-use files to provide you with the basic elements to create your ChatBot in 1 hour flat! Some predict the death of applications and their replacement by ChatBots… In any case, Chatbots are all the rage and actually promote customer relations! Imagine the time saved by a ChatBot: - Answer FAQs - Answer your customers' recurring questions - Make appointments - Display data from an external database - The possibilities are endless Nothing is impossible today! The only brake you will have after this course will be your imagination! In the first part of this course , we will see together all the generalities concerning ChatBots! - What is it? - What is it for? - How does it work? Then we will discover together the global architecture of a Chatbot. The second part will be dedicated to the Practical part ! Now, it's your turn! We'll start gently by creating a Facebook page to do our tests! Then, we'll discover together how to install our basic files provided with the course, how to host them for free on a Heroku server, how to create a WIT.AI app, how to store information on a Firebase database, how to train it and finally how to get a response from our ChatBot. From here, your basic Chatbot will be set up! It will be ready to do anything you can imagine. In the third part , you will see how to insert data from an external API in order to enrich your ChatBot. You will carry out the practical implementation on an example! You will create a ChatBot that gives the weather forecast for tomorrow or the day after tomorrow for a given city. You will then see how to submit and have your creation validated by the Facebook teams quickly and you will discover all the errors to avoid to make this step as short as possible. At the end of the course , you will therefore have all the cards in hand to produce a quality chatbot, rich in understanding of natural language, with external communication tools capable of enriching your ChatBot with data. I will answer all questions asked during this course and try to guide you as best I can through all the steps! Mots clés : natural language processing, ChatBot, Messenger, Chatbot Messenger, deep learning, machine learning, NLP, WIT.AI, API.AI, intelligence artificielle, artificial intelligence, bot, Ai, IA, heroku, Firebase, NodeJS, Deep Learning Machine Learning Neural Networks Chatbot Natural Language Processing

Welcome to the cutting-edge course on "AI Mastery: Recommendation Engines Unleashed". This comprehensive program is meticulously crafted to equip participants with the knowledge and skills needed to master the intricacies of recommendation engines. Whether you are a data enthusiast, aspiring data scientist, or industry professional seeking to enhance your AI expertise, this course promises a transformative learning experience. Course Overview: In this journey through recommendation engines, you'll delve into the core principles, algorithms, and practical applications that power personalized content suggestions. From understanding collaborative filtering to building sophisticated book and movie recommendation systems, each section is designed to deepen your expertise in this dynamic field. What Sets This Course Apart: - Hands-On Projects: Immerse yourself in real-world projects, including building a Book Recommender and an Advanced Book Recommender, ensuring practical application of acquired knowledge. - Comprehensive Coverage: Cover the fundamentals, advanced techniques, and even transition seamlessly from book to movie recommendation engines. - Industry-Relevant Skills: Gain insights into the latest tools, techniques, and best practices used in the industry, ensuring your skills are up-to-date and aligned with current trends. Section 1: Recommendation Engine - Basics In this foundational section, participants will be introduced to the basics of recommendation engines. Starting with an insightful project overview, Lecture 2 delves into the collaborative filtering technique. Lectures 3 to 7 guide learners through setting up the Anaconda environment, downloading datasets, creating a Surprise Data frame, implementing cross-validation models, and making accurate train-test predictions. Lecture 8 concludes the section by applying these concepts to predict movie preferences. Section 2: Project On Recommendation Engine: Book Recommender This section initiates a practical project focused on building a Book Recommender. Lectures 9 to 23 meticulously guide learners through each stage of the project. Starting with an introduction and case study, subsequent lectures cover essential aspects like handling numerical columns, creating functions, sorting books, and developing a content-based recommender. Lecture 23 introduces techniques such as the Soup Function and Reset Index Function, crucial for extracting meaningful features. Section 3: Project On Recommendation Engine: Advanced Book Recommender Building upon the foundational knowledge, Section 3 introduces an advanced project in Book Recommendation. Lectures 24 to 34 cover crucial steps, including entering new book names, handling user data, implementing baselines, working with user IDs and book indices, and importing necessary libraries. The section concludes with the development of a Hybrid Model, showcasing the integration of multiple recommendation techniques for enhanced accuracy. Section 4: Develop A Movie Recommendation Engine This concluding section extends the learning by transitioning from books to movies. Lectures 35 to 40 guide participants through the development of a Movie Recommendation Engine. Starting with an introduction, participants will import essential libraries and progress through creating a Simple Recommender and Content-Based Recommender. The section culminates with learners equipped to develop effective recommendation systems tailored for the movie industry. Throughout the course, participants will acquire hands-on experience, gaining the skills required to construct versatile recommendation engines applicable to diverse domains.

More and more AI tools are emerging, but the focus is still on practicality. I integrated my audiovisual marketing major with AI tools to design this course. After completing the study, it can help you save huge costs and obtain high-quality works in a short time. As long as you have a smartphone and a computer, you can efficiently produce works anytime and anywhere! This course will start with basic concepts, introduce the application of various audio and video marketing tools, and delve into how to integrate artificial intelligence technology into your workflow. Whether you are a newbie or an experienced practitioner, you can benefit a lot from it. Whether it's a promotional video, social media ad or corporate image, you can do it all.

Master course in Chatbot technology google bard AI It's a Google AI chatbot that creates text, translates languages, writes creative content, and answers your questions in an informative way using a large language model. Even though Bard is still in development, it can already do a lot of stuff, including Completing requests thoughtfully and following instructions Answering open-ended, challenging, or strange questions in a comprehensive and informative way Generating different creative text formats, like poems, codes, scripts, music, emails, letters, etc. There's still a lot to learn about Bard, and it's not perfect yet. There are times when it gives inaccurate or inappropriate answers. Among the things that Bard is capable of, here are some examples: Bard can generate various types of text, such as news articles, blog posts, poems, code, scripts, musical pieces, emails, and letters. A fluent and accurate translator, Bard is capable of translating languages. Even if your questions are open ended, challenging, or strange, Bard can provide comprehensive and informative answers. There are many uses for Bard, which is a powerful tool. In addition to being used for education, research, and entertainment, it has many other uses as well. The Bard community is eager to see how people use the software in innovative ways. In this master course, I would like to teach the 5 major topics: 1. Introduction and importance of chatbot technology and Google bard AI 2. Benefits, features, advantages and challenges of Google bard AI 3. How to work with Google bard AI 4. Chat GPT Vs Google bard AI 5. Google bard AI Journey for upcoming years

Mastering AI Artistry and Design Dive Into the limitless possibilities of AI in art and design with our comprehensive course, "Mastering AI Artistry and Design." Whether you're an aspiring artist, seasoned designer, or tech enthusiast eager to explore the intersection of creativity and artificial intelligence, this course offers a transformative journey into the world of digital artistry. Course Highlights: 1. Explore Cutting-Edge AI Tools: Dive into the capabilities of leading AI platforms such as DALL-E, Copilot, and Canva. Learn how these tools can revolutionize the creation of stunning artworks, digital illustrations, and compelling designs. 2. Hands-On Learning with AI Art Techniques: Gain practical experience in generating AI-powered visual content. From creating realistic human images to designing captivating book covers and marketing materials, discover techniques to elevate your creative output. 3. Innovation in Visual Storytelling: Harness AI to enhance storytelling through visual mediums. Explore advanced techniques for integrating AI-generated elements into narratives, enhancing engagement and impact across digital platforms. 4. Future Trends and Industry Applications: Stay ahead of the curve with insights into the latest trends and applications of AI in art and design. Understand how AI is shaping the future of creative industries and explore potential career pathways in AI-driven creativity. Who Should Enroll: - Artists and Designers: Looking to leverage AI to expand their creative toolkit and push artistic boundaries. - Content Creators: Interested in enhancing visual content creation for digital platforms using AI-powered tools. - Marketers and Brand Managers: Seeking to innovate marketing strategies through AI-generated visuals and graphics. - Tech Enthusiasts: Curious about the capabilities of AI in transforming traditional art and design processes. Benefits of Enrolling: - Expert-Led Instruction: Learn from industry experts with hands-on experience in AI artistry and design. - Practical Projects: Apply your skills through practical projects and assignments that simulate real-world scenarios. - Career Advancement: Gain a competitive edge in the job market with specialized skills in AI art and design. Join Us: Embark on a journey of creativity and innovation with AI as your creative partner. Enroll today and discover how AI can amplify your artistic vision and transform your approach to digital artistry.

This course is designed for Music Composition Artists who are interested in exploring the world of AI music composition. The course will cover the fundamentals of using artificial intelligence to compose music, including techniques, tools, and applications. By the end of the course, learners will be able to create their own AI-generated musical compositions and understand the potential of AI in the field of music composition. Course objectives - Understand the basics of AI music composition - Explore different AI music composition techniques - Learn how to use AI tools for music composition - Apply AI music composition techniques to create original compositions - Reconize the potential and limitations of AI in music composition - Introduction to AI Music Composition In recent years, the field of artificial intelligence (AI) has made significant advancements in various domains, including music composition. AI music composition refers to the use of machine learning algorithms and computer programs to generate original musical compositions. Traditionally, music composition has been a highly skilled and creative task performed by human composers. However, with the advent of AI technologies, computers can now analyze vast amounts of musical data, learn patterns and structures, and generate compositions that imitate or even surpass human creativity.

Are you eager to excel in the Microsoft AI-900 exam and kickstart your Azure AI journey? Our AI-900 practice tests are your ultimate guide to mastering the basics of AI and Azure services, ensuring you pass with flying colors. Why choose our AI-900 practice tests? Extensive Coverage: Dive deep into every key area outlined in the AI-900 exam objectives, from AI workloads and considerations to machine learning, computer vision, and natural language processing on Azure. Real Exam Feel: Our tests simulate the actual AI-900 exam setting, so you get familiar with the question formats and environment you'll face on exam day. In-depth Explanations: Every question includes detailed explanations, helping you understand not just the 'what,' but the 'why' behind the correct answers. AI-900 Certification Process Overview: Achieving a Microsoft Certification demonstrates your expertise in applying real-world AI technologies. The Azure AI Fundamentals certification is designed for both technical and non-technical backgrounds, and covers: - AI concepts - Machine learning - Computer vision - Natural Language Processing - Generative AI Azure AI Study Areas: Our course is structured into detailed modules: - Describe Artificial Intelligence workloads and considerations - Describe fundamental principles of machine learning on Azure - Describe features of computer vision workloads on Azure - Describe features of Natural Language Processing (NLP) workloads on Azure - Describe features of generative AI workloads on Azure Start your journey with Azure AI today. Enroll now to maximize your preparation and ace the AI-900 exam!