Moderniser des sites Web à l'aide de l'IA générative sur Google Cloud
Améliorez l'expérience de navigation sur votre site Web en utilisant l'IA générative pour offrir une meilleure expérience de recherche à vos utilisateurs. Dans ce cours, vous allez apprendre à utiliser Vertex AI Search pour proposer aux utilisateurs de votre site Web une expérience de recherche générative leur permettant de découvrir le contenu proposé par votre site Web. En tant qu'éditeur de sites Web, vous allez également apprendre à utiliser l'IA générative pour traduire et améliorer rapidement et efficacement vos contenus à l'aide de suggestions.
This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. You will understand and analyze how to deal with changing data. You will also be able to identify and interpret potential unintended effects in your project. You will understand and define procedures to operationalize and maintain your applied machine learning model. By the end of this course you will have all the tools and understanding you need to confidently roll out a machine learning project and prepare to optimize it in your business context.
To be successful, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode).
This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii).
AI is transforming game creation, enabling smarter NPCs, generative environments, and more immersive game experiences.
This beginner-friendly certification equips designers, developers, artists, and writers with hands-on AI skills for today’s game industry.
Learn to use AI-powered systems for worldbuilding, NPCs, quest creation, level design, balancing, and interactive storytelling through practical workflows.
Work through guided exercises to create characters, shape environments, define rules, test and improve gameplay, and support early concepts and asset planning.
By completing the course, you’ll be ready to speed up production, enrich game concepts, and deliver responsive player experiences with portfolio-ready projects.
Join the AI for Game Design Agent Certification Online and begin creating innovative, AI-powered games today.
Welcome to Advanced Machine Learning Techniques, where you'll dive deep into sophisticated approaches that power modern AI applications. We'll explore five key areas of advanced ML: ensemble methods for combining models, dimensionality reduction techniques for handling complex data, natural language processing for text analysis, reinforcement learning for decision-making systems, and automated machine learning for optimization. You'll work hands-on with industry-standard tools including Scikit-learn, XGBoost, NLTK, PyTorch, and MLflow, learning how to implement and optimize advanced algorithms in real-world scenarios.
By the end of this course, you'll be able to:
-Implement ensemble methods including bagging, boosting, and stacking to enhance model performance
-Apply dimensionality reduction techniques like PCA, t-SNE, and UMAP for data visualization and feature extraction
-Process and analyze text data using modern NLP techniques and transformer models
-Design and train reinforcement learning agents for autonomous decision-making
-Optimize machine learning workflows using AutoML tools and experiment tracking
Through practical exercises and a comprehensive capstone project, you'll develop the advanced skills needed to tackle complex machine learning challenges in your professional work.
Unity: Design & Implement Advanced Rendering Effects
This course is designed to empower intermediate-to-advanced Unity developers with the skills to design, construct, and implement advanced rendering workflows using Unity’s built-in shader system. Through a structured approach involving real-world shader authoring practices, learners will progressively analyze, apply, and evaluate transformation matrices, camera systems, multi-texture sampling, gamma-space correction, and texture blending techniques.
The course is divided into three focused modules:
• Fundamentals of Rendering and Transformation — Learners explore how rendering pipelines operate, and how object transformations using position, rotation, and scaling matrices are mathematically and visually applied in Unity.
• Shader Development in Unity — This module demystifies SubShaders, surface functions, properties, and GPU instructions, guiding learners to compile, customize, and debug efficient shaders for dynamic surface rendering.
• Advanced Texturing and Effects — Learners advance into practical multi-texture blending using splatmaps, slate maps, and gamma correction to create layered, high-fidelity materials for use in dynamic environments.
By the end of the course, students will be able to create optimized shader-based effects, blend multiple materials contextually, and enhance visual realism through matrix logic and advanced texturing pipelines.
In the cloud networking course, we will see what the network needs to do to enable cloud computing. We will explore current practice by talking to leading industry experts, as well as looking into interesting new research that might shape the cloud network’s future.
This course will allow us to explore in-depth the challenges for cloud networking—how do we build a network infrastructure that provides the agility to deploy virtual networks on a shared infrastructure, that enables both efficient transfer of big data and low latency communication, and that enables applications to be federated across countries and continents? Examining how these objectives are met will set the stage for the rest of the course.
This course places an emphasis on both operations and design rationale—i.e., how things work and why they were designed this way. We're excited to start the course with you and take a look inside what has become the critical communications infrastructure for many applications today.
Explore SAP Data Foundation using Looker Dashboards
This is a self-paced lab that takes place in the Google Cloud console. Visualize the Google Cloud Cortex Data Foundation for SAP by viewing reports pre-installed in a Looker instance
Gemini for Data Scientists and Analysts - Bahasa Indonesia
Dalam kursus ini, Anda akan mempelajari bagaimana Gemini, kolaborator yang didukung AI generatif dari Google Cloud, membantu menganalisis data pelanggan dan memprediksi penjualan produk. Anda juga akan mempelajari cara mengidentifikasi, mengategorikan, dan mengembangkan pelanggan baru menggunakan data pelanggan di BigQuery. Dengan menggunakan lab interaktif, Anda akan melihat bagaimana Gemini meningkatkan analisis data dan alur kerja machine learning.
Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
Corporate Sustainability. Understanding and Seizing the Strategic Opportunity
The achievement of a balanced economic, social and environmental development - as expressed in the UN Agenda 2030 for Sustainable Development - is recognized as one of the major challenges humanity is facing today. What is less clear is whether and how organizations can generate business opportunities and value for their stakeholders while tackling such challenges.
In this course, thought leaders in a wide variety of management and economics fields illustrate how to assess and seize the opportunities offered by these global emergencies. They will offer new ways to understand the purpose and the logic of success of the business enterprise in this new context, providing ideas and examples on how to manage the transition process to realize the value creation potential from corporate sustainability for all involved stakeholders.
Learning objectives
The course will allow you to:
- Understand What the macroeconomic and microeconomic consequences of both climate changes, poverty, hunger, gender or race discriminations, lack of communication between the State, Civil Societies, and businesses, etc are.
- Understand Why it is important for businesses to tackle sustainability issues in order to create more and better business opportunities;
- Learn How each individual, organization and system can start to analyze its behaviors and change towards more sustainable practices and models.
Blockchain in Financial Services: Strategic Action Plan
In this fourth and final course of the specialization, you will synthesize your learning into a Strategic Action Plan. The goals of this course are twofold: One, it’s for you to identify a specific need or problem within the financial services industry that can potentially be solved using blockchain technology. Two, it’s for you to investigate possible solutions to this problem, and to develop a strategic plan for how these solutions might be executed. You will accomplish different project milestones each week, and will be introduced to several tools to organize your findings. Throughout this process, you will hear from real-world practitioners who have hands-on experience in the blockchain ecosystem. Additionally, by participating in this course you will gain access to our Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries. As an outcome of this course, you will walk away with a consolidated, peer-reviewed Strategic Action Plan, which you can use to pitch your idea to your organization and/or potential investors.
Security, Maintenance & Integration with BI Tools
Develop essential database administration skills focusing on security, maintenance, and business integration. This final course teaches you to implement SQL Server security through authentication, authorization, and data encryption while ensuring data integrity through validation constraints and auditing. You'll learn critical maintenance tasks including backups, recovery, and index maintenance to ensure database reliability and performance. The course also covers integrating SQL Server with Power BI for creating interactive dashboards and reports that transform raw data into actionable insights. Additionally, you'll explore modern application integration patterns and API connectivity. By completing this course, you'll possess the comprehensive skill set needed to securely manage database environments and bridge the gap between data storage and business intelligence.
Welcome to the “Introduction to AI for management professionals” — a unique, hands-on course designed to help you build foundational AI and Generative AI literacy. In this course, you’ll discover how Generative AI is transforming the management profession, explore key risks and best practices, while experimenting with powerful AI tools in interactive, management-focused applications.
By the end of this course, you will be able to:
- Understand the fundamentals of AI and its potential opportunities in management
- Explore and recognize risks and limitations associated with AI and how to address them
- Practice with different AI tools to get hands-on experience
- Get started with essential prompting techniques for using different Generative AI models
- Discover and try out various management-specific use cases and AI technologies, explore the ways to integrate them into daily job routines
- Participate in a project to generate a management-specific AI use case idea with an interest in programming.
- Prepare for the next phase of your AI journey, progressing from foundational to advanced applications
Welcome to the unique “Introduction to AI for management professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.
