In this course, you will explore the generative artificial intelligence (generative AI) application lifecycle, which includes the following:
- Defining a business use case
- Selecting a foundation model (FM)
- Improving the performance of an FM
- Evaluating the performance of an FM
- Deployment and its impact on business objectives
This course is a primer to generative AI courses, which dive deeper into concepts related to customizing an FM using prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning.
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project.
By the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications.
This is the first course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.
Learners will develop, implement, and evaluate a fully functional Android calculator application using Kotlin and Android Studio. By the end of this course, learners will be able to configure Android project structures, modify Activities, design interactive user interfaces, integrate Gradle dependencies, and implement core calculation logic to produce a working mobile application.
This hands-on, project-based course guides learners step by step through the complete Android app development workflow. Starting with understanding the project setup and Activity lifecycle, learners progressively build confidence by creating UI components such as buttons, handling user interactions, and refining application logic in the MainActivity. The course concludes with validating the final output, ensuring the calculator functions correctly in a real Android environment.
What makes this course unique is its end-to-end project focus. Rather than isolated concepts, learners work on a single practical project that mirrors real-world Android development practices. This approach helps learners translate theory into application-ready skills. Whether learners are new to Android or strengthening their Kotlin expertise, this course equips them with practical experience essential for building interactive Android applications and advancing mobile development skills.
Generative AI for Data Visualization and Data Storytelling
In today’s data-driven world, harnessing the power of Generative AI to create impactful data visualizations is essential for effective communication and decision-making. This course focuses on utilizing cutting-edge AI tools to transform raw data into dynamic, insightful visual artifacts, enhancing your ability to convey complex information clearly and compellingly.
Designed for data analysts, business intelligence professionals, and anyone involved in data storytelling, this course provides practical knowledge and skills to optimize your data visualization processes using AI. You'll explore current and emerging trends in AI-powered visualization platforms, ensuring you stay ahead in the ever-evolving data landscape.
During this course, you'll focus on the following learning objectives:
-Identify how AI tools transform traditional data visualization practices to produce dynamic, insightful presentations.
-Analyze data visualization techniques with LLM-Chat interfaces to enhance understanding and communication of complex information.
-Apply generative AI techniques for data storytelling, utilizing visualization methods to create compelling narratives.
By completing this course, you'll be equipped to:
-Understand and utilize cutting-edge Generative AI tools to create data visualization artifacts.
-Gain practical knowledge on optimizing data visualization processes using AI.
-Explore current and emerging trends in data visualization through AI-powered visualization platforms.
This course is unique because it allows you to convert raw data into intuitive visualizations through various real-world industry examples. Generative AI empowers users to effectively communicate insights and make informed data-driven decisions. Whether you’re new to data visualization or looking to simplify complex information, this course equips you to uncover patterns, trends, and relationships using Generative AI tools.
To succeed in this course, you should have a basic understanding of data analysis and charts, along with a willingness to explore innovative AI-driven solutions for data visualization.
Smart Analytics, Machine Learning, and AI on GCP - Italiano
L'integrazione del machine learning nelle pipeline di dati aumenta la capacità di estrarre insight dai dati. Questo corso illustra i modi in cui il machine learning può essere incluso nelle pipeline di dati su Google Cloud. Per una personalizzazione minima o nulla, il corso tratta di AutoML. Per funzionalità di machine learning più personalizzate, il corso introduce Notebooks e BigQuery Machine Learning (BigQuery ML). Inoltre, il corso spiega come mettere in produzione soluzioni di machine learning utilizzando Vertex AI.
In the Using Data Analytics in Supply Chain course, you’ll explore the importance of data governance, and learn the fundamental concepts surrounding data. You’ll also learn the tools and processes employed in supply chain analytics, enabling you to gather, analyze, synthesize, validate, and interpret data-driven insights. This ensures that products are efficiently delivered to their destination in a timely and cost-effective manner.
By the end of this course, you’ll be able to:
Explain the importance of data governance and adhere to data governance policies.
Define data analysis objectives, formulate questions, pinpoint data sources, and implement effective data gathering techniques.
Conduct data analysis by applying calculations, summarizations, averages, and classification of information to answer the identified data analysis objectives and questions.
Identify how to use SQL, Python, or spreadsheets to clean, manage, consolidate, analyze, and visualize data.
Differentiate between various scenarios and construct simulations to evaluate outcomes.
Use data visualization to present insights effectively to decision-makers.
Nossas boas-vindas ao Curso Liderança Equilibrada e Cultura de Inclusão.
Neste curso, você aprenderá que, em qualquer segmento da economia, temos poucas ou muitas mulheres na base, dependendo de qual é o setor, mas sempre temos poucas ou raras mulheres no topo. As mulheres costumam estar relativamente bem representadas no mercado de trabalho, mas podem ser até nulas nos conselhos de administração das empresas, por exemplo. O objetivo deste curso é descrever e discutir como a liderança equilibrada de gênero pode ser uma forma eficiente de gestão no mundo corporativo, por meio de dados e casos reais, assim como ilustrar a cultura de inclusão nas organizações contemporâneas.
Ao final deste curso, você será capaz de articular ideias e soluções sobre a equidade de gênero aplicada às organizações, por meio de lideranças mais balanceadas e ambientes que promovem a diversidade.
Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos.
Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados.
Bons estudos!
Navigate Your Dream Studio Job: Thrive in 3D Animation
Ease the transition from student to industry professional by learning how to navigate an in-studio 3D animation role.
Madison Erwin started her career as a 3D animator by teaching herself the ins and outs of 3D software like Blender and the workings of the animation industry. Just three years later, she’s gone on to work on projects like Spider-Man: Across the Spider-Verse, I Am Groot, and Doctor Strange in the Multiverse of Madness. Now Madison wants to share everything she learned and did to skyrocket her 3D career to the next level.
In this class, Madison will reveal how to start a 3D animation career and navigate your dream job without unnecessary stress or burnout. By learning how to vet contracts, navigate studio hierarchy, and properly handle feedback, you’ll move from a 3D animation student to an industry professional with ease.
With Madison by your side, you’ll:
* Craft a personalized career goal
* Discover the ins and outs of contracts and studio hierarchy
* Learn how to handle, implement, and ask for feedback
* Build habits to maintain your energy and avoid burnout
Plus, Madison will help you create a five-year plan and burnout prevention plan based on her own experience working in the 3D animation industry.
Whether you’re a self-taught animator and are curious about what working at a studio would be like or you’re early on in your animation career and looking to sustain success, you’ll leave this class with the tools you need to build a solid career plan and deal with any bumps in the road as you go.
You do not need professional experience as a 3D animator to take this class. You’ll need a journal and pen or your preferred note-taking system to follow along with these lessons.
Instructor bio:
Madison Erwin is a self-taught 3D animator based in LA. Known for her acting and animation skills, she successfully freelanced for a year before taking a role in-house at Sony. Her work has been featured in blockbuster films like Spider-Man: Across the Spider-Verse, Doctor Strange, the Disney Plus Series I Am Groot, and hit game Kena: Bridge of Spirits.
Master technical analysis, chart patterns, indicators, and trading strategies with practical market applications.
Learn how to read price action, identify trends, validate setups, and plan trades with greater confidence.
This course provides a complete, hands-on foundation in technical analysis for learners who want to analyze markets using structured tools and strategies. You will start with price action, trends, and charting basics before progressing into oscillators, momentum indicators, Fibonacci techniques, Elliott Wave concepts, and advanced pattern recognition.
The course covers reversal patterns, continuation patterns, market structure, volume analysis, open interest, moving averages, Bollinger Bands, and candlestick psychology. You will also explore options trading concepts and strategies that can support hedging, volatility analysis, and trade planning.
By the end of this course, you will be able to read charts more effectively, identify potential trading opportunities, validate market signals, and build a disciplined trading approach. This course is ideal for beginners and intermediate traders who want practical technical analysis and strategy skills for real-world market decision-making.
בקורס נלמד על מנגנון תשומת הלב, שיטה טובה מאוד שמאפשרת לרשתות נוירונים להתמקד בחלקים ספציפיים ברצף הקלט. נלמד איך עובד העיקרון של תשומת הלב, ואיך אפשר להשתמש בו כדי לשפר את הביצועים במגוון משימות של למידת מכונה, כולל תרגום אוטומטי, סיכום טקסט ומענה לשאלות.
Le cours traite de l’analyse du secteur du capital-investissement et du capital-risque.
Ce cours permettra aux étudiants de comprendre parfaitement le mécanisme sous-jacent à la création et/ou l’élaboration d’une entreprise et le soutien financier qu’elle peut obtenir du système financier par le biais du capital-risque.
Il vise à découvrir comment des intermédiaires financiers particuliers (appelés des investisseurs en capital-investissement) financent par le biais de titres des entreprises à différentes étapes de leur cycle de vie, du tout début (lancement et phase initiale) à une phase plus mûre (c’est-à-dire le développement, la maturité, etc.) ou en situation de crise ou de déclin.
Le capital-investissement (appelé capital-risque, lorsque l’entreprise se trouve dans les premières phases de son cycle de vie) comprend des activités très différentes, comme le repérage, le conseil, les transactions, l’évaluation et le financement, en qualité d’intermédiaires financiers.
PLAN DU COURS
Le cours est composé de quatre modules :
SEMAINE 1 : présentation du capital-investissement et du capital-risque
SEMAINE 2 : présentation des investisseurs en capital-investissement : questions juridiques et imposition
SEMAINE 3 : gestion des fonds de capital-investissement et de capital-risque
SEMAINE 4 : évaluation des entreprises et transactions dans le secteur du capital-investissement
SEMAINE 5 : examen final
Dans ce cours, vous découvrirez des entretiens avec des intervenants et des professionnels pour fournir des exemples d’applications concrètes des contenus présentés.
CONNAISSANCES RECOMMANDÉES
est nécessaire de comprendre les concepts fondamentaux des principes de comptabilité des finances d’entreprise. Des connaissances préalables sur le capital-investissement et le capital-risque ne sont pas nécessaires, mais sont recommandées, étant donné que ce cours est conçu pour vous présenter les concepts fondamentaux du capital-investissement et du capital-risque.
À la fin de ce projet, vous aurez toutes les compétences de base pour créer un moodboard appelé aussi planche d'inspiration pour votre marque en utilisant la plateforme Canva, outil en ligne de création et d’édition de visuels Marketing. Vous serez capable de définir votre identité de marque et de mener à bien vos projets créatifs en utilisant les divers outils de conception, couleurs et graphiques proposés par Canva.
