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This professional certificate is designed to help you develop the skills and portfolio needed for entry-level work in business intelligence (BI) or data warehouse engineering. The online courses in this program will immerse you in the in-demand role of a data warehouse engineer and provide you with the core skills needed to work with a variety of tools and databases to design, deploy, operate, and manage enterprise data warehouses (EDWs). By the end of this Professional Certificate training, you will be able to perform the key tasks required of a Data Warehouse Engineer. You will work with relational database management systems (RDBMS) and query data using SQL statements. You'll use Linux/UNIX shell scripts to automate repetitive tasks and build data pipelines using tools like Apache Airflow and Kafka to extract, transform, and load (ETL) data. You will gain experience managing databases and data warehouses. Finally, you will design and implement data storage systems and use business intelligence tools to analyze and extract information using reports and dashboards. This program is suitable for anyone with a passion for learning, and will suit you whether you have a college degree or not, and does not require any prior data science or programming experience. Applied Learning Project Each course includes numerous hands-on assignments and a project to sharpen and apply the concepts and skills learned. By the end of the program, you will design, implement, configure, query and maintain multiple databases and create data pipelines using real-world tools and data warehouses, allowing you to build a portfolio of job-ready skills. You'll start by initializing a database instance in the Cloud. Next, you will design databases using Entity Relationship Diagrams (ERDs) and create database objects such as tables and keys using MySQL, PostgreSQL and IBM Db2 You will then learn to query databases using SQL using SELECT, INSERT, UPDATE, and DELETE statements, and learn how to filter, sort, and aggregate result sets. Next, you'll become familiar with common Linux/Unix shell commands and use them to create Bash scripts. You will create data pipelines for batch and streaming ETL jobs using Apache Airflow and Kafka. Finally, implement data warehouses and create BI dashboards.

87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Here's what you have to do 1) Complete the Coursera Data Engineering Professional Certificate 2) Review other recommended resources for the Google Cloud Professional Data Engineer certification exam 3) Review the Professional Data Engineer exam guide 4) Complete Professional Data Engineer sample questions 5)Register for the Google Cloud certification exam (remotely or at a test center) Applied Learning Project This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules. Applied Learning Project This Professional Certificate incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from Amazon and leading artificial intelligence (AI) startups available via API. In this course, you will learn about the benefits of Amazon Bedrock. You will learn how to get started with the service using a demo in the Amazon Bedrock console. You will also learn about AI concepts in Amazon Bedrock and how you can use the service to accelerate the development of Generative AI applications.

In this course you will learn about artificial intelligence and machine learning as it applies to human resource management. You will explore concepts related to the role of data in machine learning, the application of AI, the limitations of using data in HR decision making, and how bias can be reduced using blockchain technology. Machine learning capabilities are becoming faster and more streamlined, and you'll gain first-hand knowledge of how to use existing and emerging technologies to manage the entire employee lifecycle. Through study and analysis, you will learn to sift through vast amounts of data to identify patterns and make predictions that will benefit your business. By the end of the course, you will be able to determine how artificial intelligence can be used to optimize all HR functions, and how to work with data to harness the power of machine learning.

This specialization is designed to introduce students to a wide range of financial technologies. Although finance has always been at the forefront of technological innovation, the financial industry is rapidly changing due to new technologies. In the past, central governments and financial institutions have been at the forefront of financial innovation. Today, information technology firms and professionals play a leading role in innovation in the financial industry. Our goal is to show students the genesis and use cases of technology. We hope to familiarize professionals enough with the technology that they can use and adapt it in their careers. Applied Learning Project Stories are part of the human experience. We all have our own stories to tell, but they are also great learning tools. These courses will use a storytelling approach that asks you to play the role of a character embedded in a context directly related to the content you will be working with. This approach will help you relate to the information being presented, encourage you to apply your knowledge and skills in a new context, and give you and other participants the opportunity to reflect on shared experiences.

О TensorFlow TensorFlow is an end-to-end open source platform for machine learning. It has a rich, flexible ecosystem of tools, libraries, and community resources that makes it easy for researchers to advance the cutting edge of ML and for developers to easily build and deploy ML-enabled applications. TensorFlow is widely used in machine learning applications such as voice recognition and detection, Google Translate, image recognition and natural language processing. About this specialization Expand your knowledge of functional APIs and build exotic non-sequential model types. Learn how to optimize training in a variety of environments with multiple processors and chip types, and become familiar with advanced computer vision scenarios such as object detection, image segmentation, and convolution interpretation. Explore generative deep learning, including ways AI can create new content, from style transfer to auto-encoding, VAE, and GANs. About you This specialization is designed for software and machine learning engineers who have a basic understanding of TensorFlow and want to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models. Looking for where to start? Master the basics with professional certificate DeepLearning.AI TensorFlow Developer. Ready to deploy your models to the world? Find out how to get started with TensorFlow: Data and Deployment Specialization. Applied Learning Project In this specialization, you will gain hands-on knowledge and hands-on training in advanced TensorFlow techniques such as style transfer, object detection, and generative machine learning. Course 1: Understand basic functional API fundamentals and build exotic non-sequential model types, custom loss functions, and layers. Course 2: Learn how optimization works and how to use GradientTape and Autograph. Optimize training across multiple environments with multiple processors and chip types. Course 3: Practice object detection, image segmentation, and visual interpretation of convolutions. Course 4: Explore generative deep learning and how AI can create new content, from style transfer through autoencoding and VAE to generative adversarial networks.

This specialization is designed for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, gain basic skills in working with cloud data services, and expand their fundamental knowledge of cloud data services in Microsoft Azure. By completing five courses, you will be prepared to take the DP-900 exam. This program will prepare you to serve as a data engineer, data analyst, and database administrator. You will explore the roles, tasks and responsibilities in the world of data. You'll explore relational data offerings, creating and deploying relational databases, and querying relational data using cloud data solutions in Microsoft Azure. You'll become familiar with non-relational data offerings, creating and deploying non-relational databases and non-relational data stores, and the data processing options available for building data analytics solutions in Microsoft Azure. You'll explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight, and what Power BI is, including its building blocks and how they work together. This specialization will prepare you to take the DP-900: Microsoft Azure Data Fundamentals exam. Upon completion of the Specialization, you will be offered a discount on the Microsoft Azure Data Fundamentals certification exam, which can be used at Pearson Vue, Microsoft's proctored exam site. A limited number of discount vouchers are available on a first come, first serve basis. Coursera and Microsoft may terminate this offer at any time. Applied Learning Project Throughout the program, students will participate in interactive exercises that provide opportunities to practice and apply what they have learned. They use Microsoft Learn Sandbox. It is a free environment that allows students to learn Microsoft Azure and gain hands-on experience working with Microsoft Azure resources and services in real time. For example, when you learn how to provision Azure relational database services, you will work in a temporary Azure environment called a Sandbox. The beauty of this environment is that you will work with real technology, but in a controlled environment, allowing you to put the knowledge you learn into practice and at your own pace. To log into the Sandbox, you will need a Microsoft account. If you don't have one, you can create one for free. Learn Sandbox provides free, time-based access to a cloud subscription that requires no credit card. Students can safely explore, create, and manage resources without fear of incurring costs or breaking production.

f you want to enter the exciting world of software development, then this Software Engineering Fundamentals Specialization is for you. No prior degrees or knowledge of programming or application development are required . According to the U.S. Bureau of Labor and Statistics, software developers are in high demand, earning an average salary of $110,140 per year . With a growth rate of 22% in this field, now is a great time to start a career in software development. This program’s self-paced courses provide the foundation for a wide range of IT and software engineering careers , including web development, mobile app development, front-end, back-end, and full stack application development, software testing and quality assurance (QA), and DevOps engineering. This specialization is packed with engaging videos, hands-on labs, and real-world projects that teach fundamental programming principles and the fundamentals of design, architecture, and deployment; the software development life cycle; Git and GitHub repositories; using the Linux terminal and creating Bash shell scripts to automate various tasks; and coding using the Python programming language . The program is suitable for those who are just starting to study software engineering , or for those who would like to get acquainted with the basics of software engineering. It will prepare you to get acquainted with the culture, technologies, and skills necessary to succeed in the field of software engineering. Applied Learning Project Each course is packed with hands-on labs, interactive activities, and projects so you can build your portfolio while gaining hands-on knowledge of software engineering concepts. Throughout the program you will develop software engineering skills. Projects include: - Review job postings to become familiar with software engineering skills and requirements. - Used Git and GitHub commands to create an open source project, work with branches, merge code, and issue Patch Requests (PRs). - Writing a Bash shell script on Linux that backs up changed files and schedules it to run every 24 hours using Crontab. - Coding in Python using lists, tuples, dictionaries, sets, conditions, branches, loops, functions, exception handling, objects and classes, web services and APIs, and NumPy and Pandas libraries. - Developed a Python web application using IBM Watson for language translation, including writing unit tests and packaging the application for distribution.

Every day, we make thousands of decisions. Do I cross the street now or wait for an oncoming truck to pass? Should I have French fries or a salad for lunch? How much should I tip the cab driver? We usually make these decisions almost without thinking, using what psychologists call "heuristics" - rules that help us navigate life. Without these mental shortcuts, we would be paralyzed by the myriad of daily decisions. But in certain circumstances, these "shortcuts" lead to predictable mistakes - predictable if we know what to watch out for. Did you know, for example, that we are naturally inclined to sell investments that are doing well and hold on to those that are doing poorly? Or that we often choose suboptimal insurance plans, routinely buying insurance we don't even need? And why do so many of us not join our employers' pension plans, even if our employers offer to contribute? Behavioral finance is the study of these and dozens of other financial decision-making errors that can be avoided if you know the biases that cause them. In this course, we'll look at these predictable errors and where we're most susceptible to them. This course is designed to set participants on the path to making better financial choices. Learn how to improve your spending, saving, and investing decisions in the future.

Welcome to Finding Purpose and Meaning in Life: Living for What Matters Most! In this course you will learn how science, philosophy and practice play a role in finding your purpose and living a purposeful life. You'll hear from historical figures and individuals about their journeys to finding and finding a purposeful life, and go through a variety of exercises that will help you discover what matters most to you so you can live a purposeful life. As an added benefit, you will also receive free access to the Purposeful App for a period of time. This revolutionary mobile and desktop app is designed to help you create a purposeful rhythm in each day so you can bring your best self to the things that matter most. Look for more detailed information in the first week of the course! By the end of this course, you will be able to: 1. Understand that having a strong purpose in life is an important element of human well-being. 2. Know how self-transcendence goals positively influence well-being. 3. You will be able to create a purpose for your life (don't be scared, this is different from creating a "purpose" for your life). 4. Apply personal change approaches and skills to become and stay connected to your purpose every day. We are very glad that you are here! We look forward to hearing and learning from you throughout the course!

Unlock the Power of AI for Your Business: A Comprehensive Guide for Leaders and Managers Are you ready to transform your business with the power of artificial intelligence? Welcome to "AI for Business Leaders and Managers," the ultimate course designed to equip you with the knowledge and tools to leverage AI effectively and efficiently. This 6-hour video course, is tailored specifically for busy business leaders, entrepreneurs, and managers who want to stay ahead of the curve and make use of the incredible opportunities AI tools offer. Why This Course? My course includes everything you need to know to get started right away on leveraging AI and planning for its strategic implementation in the future. Don’t worry if you don’t know anything about AI, I’ll explain what you need to know and set you on the right path to quickly make use of it at work. I was a former Data Science Consultant for many years and my role was to explain AI to very senior managers (technical and non-technical) and recommend AI solutions. I also interviewed other AI consultants for their input, one of whom advises the UK government. You see Artificial intelligence is not just a buzzword; it really is the game-changer that is revolutionizing industries across the globe. Whether you aim to enhance your products and services, automate your processes, or harness business intelligence for strategic decisions, AI is the key. But the challenge lies in understanding how to implement it without getting lost in technical jargon or costly experiments. That's where this course comes in. What You'll Learn - What AI is, and why it is exploding right now! - AI models for context, nothing too technical but you need to know what is available, how they can be useful for you and their limitations. - Why leadership in AI is so important (that’s you) - The current status of AI and how businesses are using it today - The main ways you can make use of AI, from business intelligence decision-making to automation, to creating new products. - AI predictions and trends, what you need to look out for - Exercises to out how you should make use of AI - Step-by-step considerations on how you can make use of the right AI solution for your situation - The advantages and drawbacks of proprietary AI tools, training your own model and cloud infrastructure. - Where to find AI tools, pre-trained AI models, datasets and other AI options - The importance of data quality and centralization for AI models - How to ensure and calculate a great return on investment - How to experiment and rapid prototype to find the right solution to pursue, quickly and cheaply - How AI is transforming Project Management - AI challenges and risks - AI regulations and ethics - AI transparency and explainability - AI business cultural challenges, how to reassure your staff about their jobs. I cover a few fun case studies explaining some famous stories about AI success. I even include in-depth interviews from respected and leading AI consultants, one advises the UK government. Meet Your Instructor Before becoming a full-time course instructor, I was a Data Science Consultant for one of the largest organizations in Europe. I led a data science team, recommended AI solutions for new products and analytical challenges, and developed numerous AI prototypes and solutions over the years. My extensive experience and practical knowledge are now condensed into this comprehensive course to help you unlock the full potential of AI for your business. Why Enroll Now? - Comprehensive Coverage: This course covers everything from the basics of AI to advanced implementation strategies. - Expert Insights: Learn from real-world AI consultants and case studies. - Practical Exercises: Engage in hands-on activities to solidify your understanding. - Flexible Learning: Enroll now and take the course at your own pace with lifetime access. - Money-Back Guarantee: Enjoy a 30-day money-back guarantee if you're not completely satisfied. Take the Next Step Don't miss out on this exciting opportunity to revolutionize your business with AI. Enroll today and unlock the power of artificial intelligence for your business. Click "Enroll Now" and I can’t wait to see you in the course!

10 lectures during which you learn to use and use AI tools like a professional! And you don't need to have any programming knowledge. See what wonders you can do and create thanks to AI in 2024. Lecture 1 - AI in 2024 - what can we do without coding? We present the latest AI developments and capabilities available to the average user who is not a programmer. We discuss the impact of AI on various industries and the future of work and everyday life. We show what can be done with AI in 2024. Lecture 2 - Creating websites with AI (Canva) We focus on using AI tools to easily and quickly create websites without coding knowledge. We create our own website. Lecture 3 - Creating presentations with AI - Avatars and animations (HeyGen, LeiaPix, ElevenLabs) Discussion and presentation of AI tools for creating interactive presentations. Creating avatars that can be speakers and speak in different languages ​​and voices. Creating a short video presentation using an AI avatar Lecture 4 - Movement in graphics (Pika, Runway) and education with AI support, part 1 (Chat GPT, Gemini, Claude, Character) The first, shorter part of the lecture will concern how to animate photos and graphics using AI. In the second part, we will deal with AI tools to support learning and personal development. I will show you how to learn with AI effectively, quickly and pleasantly. Lecture 5 - Education with AI support, part 2 The first part of the lecture discusses how to learn mathematics and Polish with AI. In the second part, we focus on learning programming with the help of AI and how to learn English with the help of artificial intelligence. Lecture 6 - Complete compendium on creating graphics in AI (Midjourney) The wonders you can create by turning text into an image. Step by step. Possibilities and tricks that will allow you to create amazing graphics with the help of AI. Lecture 7 - Working with graphics (Midjourney, Adobe Express, Firefly, Chat GPT) We work a lot with graphics in various AI tools. You will learn to create texts, your own characters, and edit images - all this without any graphic skills or abilities. We will also return to teaching English for a moment by creating a virtual teacher. Lecture 8 - Creating video and animation with AI (Runwey and Kapwing) We create professional videos using AI. It will be about animations, editing, effects, music, etc. Lecture 9 - Earning money on AI skills - an example of generating videos on YT (various tools) I will show you the possibilities of earning money on AI skills, specifically on content creation. Examples of practical application of practical skills acquired during the course. Lecture 10 - Optimization and automation of AI tasks (Open AI, Make) AI is not only about generative content creation but also about automation. In this lecture, I will show you how to automate responses to emails (so that AI will answer for you and do it well). Let's use the Open AI and Make tools. The course is a record of the lessons I conducted during the closed Professional Nocode AI User course between February and May 2024.