This one-week microlearning course provides an introduction to the Principles of Responsible AI and how those principles align with the Generative AI or GenAI space.
It also informs the learners about the various challenges that Generative AI brings. You will explore the fundamental principles of responsible AI, and understand the need for developing Generative AI tools responsibly.
By the end of this course, you will be able to discuss the challenges posed by Generative AI and the principles of Responsible AI.
Learn to build complete data pipelines that transform raw event data into actionable insights using SQL and Pandas. You'll gain the skills to design efficient star schemas, implement Type-2 slowly changing dimensions for historical tracking, and optimize database performance for analytical workloads.
This course uniquely combines hands-on experience with massive datasets (10+ million rows) and practical exposure to multiple SQL dialects including Presto and Spark.
You'll benefit professionally by developing the core competencies that product analytics teams depend on daily - from data transformation and pipeline architecture to performance optimization. By completion, you'll confidently tackle real-world data engineering challenges and contribute immediately to business intelligence initiatives in product analytics roles.
Fundamentos do BigQuery para Profissionais de Snowflake
Este curso aborda os fundamentos do BigQuery para profissionais que já conhecem data warehouses em nuvem baseados em SQL no Snowflake e querem começar a trabalhar no BigQuery. Com conteúdo interativo e laboratórios práticos, você vai aprender a provisionar recursos, criar e compartilhar recursos de dados, ingerir dados e otimizar a performance de consultas no BigQuery. Com base no seu conhecimento do Snowflake, você também aprende sobre as semelhanças e diferenças entre o Snowflake e o BigQuery para começar a usar data warehouses no BigQuery.
This course was developed for professionals from any area who wish to improve their knowledge of strategy and who intend to apply this knowledge to their personal and professional life.
The art and science of strategy is important because it offers tools to support decision making in volatile, uncertain, chaotic, and ambiguous scenarios. As a strategist, you will need to make decisions with information incomplete and often contradictory. The lack of access to information can be partially addressed with the analysis techniques that you will learn in this course.
This course will be focused and will offer some of the most important tools for the elaboration of the strategy and will develop your ability to use them.
This course gives you an expansive overview of Agile project management. By the end, you’ll know Agile’s history, how it works, and how it's different from other approaches to project management. You’ll also learn the Agile Manifesto, including its 4 values and 12 principles. And you’ll even understand how to adopt and apply Agile in a VUCA environment.
By the end of this course, you will be able to:
- Explain how Agile project management works and differentiate it from Waterfall methodology using real-world examples
- Apply the four values and twelve principles of the Agile Manifesto to adopt an effective Agile mindset for project success
- Compare popular Agile frameworks including Scrum, Kanban, XP, and Lean to determine when to use each approach
Mastering Data Visualization in Microsoft PowerPoint
By the end of this project, you will create a free account on Microsoft 365, you will get access to Microsoft PowerPoint, and you will create a presentation with data that will be efficiently visualized. Your new skills will help you create a presentation that demonstrates data in the most efficient way.
Use Valkey — the Apache-2.0 fork of Redis maintained by the Linux Foundation — as the cache, stream, and coordination primitive at the heart of a Rust service. This course is the most direct path from `cargo add redis` to a real-time data pipeline that survives partitions and operator changes.
You begin with the license rift and what wire compatibility means in practice, then dive into the four data shapes that drive every Valkey workload — strings with TTL, hashes with per-field expiry, lists as queues, and sorted sets as the leaderboard primitive. From there the course turns to streams + consumer groups (the data-engineering core), XADD and XREADGROUP for exactly-once delivery, plus XPENDING + XCLAIM for failure handling.
The back half covers the patterns that make Valkey production-grade in Rust: pipelining for round-trip math, MULTI/EXEC with WATCH for multi-key atomicity, EVAL and the script cache for server-side atomicity, connection-pool sizing under load, and criterion for honest p50/p99 benchmarking. The course closes with the operational story — RDB vs AOF, replication, Sentinel failover, cluster sharding, and the split-brain accounting that "highly available" actually buys you.
Planning for a Google Workspace Deployment - Português
"Planning for a Google Workspace Deployment" é o último curso da série "Google Workspace Administration".
Aqui, você conhecerá a metodologia e as práticas recomendadas de implantação do Google. Você vai acompanhar a jornada de Catarina e Marcos, que vão planejar uma implantação do Google Workspace na Cymbal. O foco deles serão as principais áreas de provisionamento de um projeto técnico, fluxo de e-mails, migração de dados e coexistência, além de pensar na melhor estratégia de implantação para cada área.
Você também vai conhecer a importância da gestão da mudança em uma implantação do Google Workspace. Com ela, os usuários fazem uma transição tranquila para o Workspace e recebem os benefícios da transformação do trabalho com comunicações, suporte e treinamento.
O curso aborda tópicos teóricos e não tem exercícios práticos. Se você ainda não cancelou seu teste do Google Workspace, faça isso agora para evitar cobranças indesejadas.
En este curso de capacitación, se presenta Cloud NGFW. Los temas que se incluyen son cómo Cloud NGFW proporciona administración y visibilidad centralizada de firewalls, protección avanzada contra amenazas y estadísticas de firewalls.
Business Analytics with Excel: Intermediate to Advanced
This Business Analytics course in Excel is the second of a three part series, with the intended audience business professionals, MBA students, advanced undergraduates, and analysts who already understand basic analytics and want to upskill with techniques used in operations, finance, logistics, and strategy.. Upon completing this course, learners will be able to build and solve advanced optimization models in Excel, including linear, integer, network, and nonlinear programs; apply matrix functions to scale and streamline analysis; and use VBA macros to implement multi-goal programming and explore trade-offs through Pareto-efficient solutions.
This intermediate-to-advanced course is a continuation of Business Analytics: Elementary to Advanced and is designed for learners who want to move from using Excel for analysis to using it for sophisticated decision-making. Rather than treating Excel as a passive calculation tool, the course shows how it can function as a powerful optimization and modeling environment for real business problems.
Learners will benefit by gaining practical, immediately applicable skills that allow them to model constraints, manage competing objectives, and justify decisions quantitatively.
What makes this course unique is its hands-on, problem-driven approach and its emphasis on automation and multi-objective thinking. By combining Solver, matrix methods, and macros, learners not only solve harder problems faster, but they also gain a flexible toolkit that is engaging, creative, and directly transferable to real-world decision environments.
This course will prepare you for the third course of the Business Analytics Specialization, Simulation and Optimization.
