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In this course you’ll cover the fundamentals of cloud computing, exploring key concepts, Azure services, and management tools. You’ll engage in hands-on projects, applying your knowledge to optimize resources using Azure Resource Manager (ARM) templates, Azure Policy, and Azure Monitor. You’ll also gain practical insights into automated deployment, governance, and resource optimization within the Azure ecosystem. After completing this course, you’ll be able to: • Discuss the basics and benefits of cloud computing. • Describe various cloud computing models and their applications. • Describe core Azure services, their features, and applications. • Discuss advanced features and capabilities of Azure services. • Implement comprehensive monitoring with Azure Monitor. This is also a great way to prepare for the Microsoft AZ-900 exam. By passing the AZ-900 exam, you’ll earn the Microsoft Azure Fundamentals certification.

In this course, you'll explore Generative AI's role in software development. You'll start with an overview to understand its capabilities. Next, you'll dive into specific tools like Amazon CodeWhisperer, where you'll learn to automate tasks such as code completion and bug detection. By the end, you'll evaluate Generative AI's benefits and limitations. This will empower you to make informed decisions about its use in software development. After completing this course, you’ll be able to: • Discuss the principles and applications of Generative AI. • Implement Generative AI tools in software development. • Examine the role of Generative AI in automating repetitive tasks in software development. • Evaluate the benefits and limitations of using Generative AI in software development.

A comprehensive understanding of statistics and data analysis is paramount for the fields of data science, data analytics, and machine learning. In the first course of this specialization, you will learn traditional and applied statistics (descriptive statistics, probability, and discrete and continuous probability distributions) from ground zero (i.e., beginner level). The second course is all about inferential statistics and making decisions (sampling distributions, one- and two-sample hypothesis tests, analysis of variance) and creating predictive mathematical models (linear and nonlinear regression). Throughout both of the first two courses, you will learn how to visualize data and solve various statistical problems using Microsoft Excel. In the final course of the specialization, you will use the statistical computing software R (using RStudio) for statistical hypothesis tests, data visualization, and analysis of variance (ANOVA). Applied Learning Project Parts 1 and 2 of the specialization have “guided” workshop quizzes during each week of the course for learners to work along with the instructor through relevant and exciting statistics related problems. In Part 3 of the course, assignments are in-application (i.e., in the programming language R) and are submitted online.

This course focuses on integrating sustainability into core business strategies, measuring and reporting sustainability performance, and developing human capital for sustainability. Learners will explore sustainable branding, policy advocacy, community partnerships, and compliance reporting. The course also covers innovation in sustainability, ethical perspectives, and continuous improvement processes. By the end, learners will be equipped with the knowledge to implement and lead effective sustainability initiatives within their organizations.

Elevate your career and position your organization for a sustainable future with the "Sustainability for Business" specialization. Designed for students, early-career professionals, and business leaders across industries, this program empowers you to drive impactful change. Through three in-depth courses—"Introduction to Corporate Sustainability," "Sustainable Business Practices," and "Advanced Strategies for Sustainable Business"—you'll gain actionable insights into the triple bottom line, sustainability frameworks, Environmental, Social, and Governance (ESG), carbon management, circular economy, employee engagement, supply chains, communication, reporting, and sustainable business practices. This specialization provides the knowledge and tools to assess and enhance your organization's sustainability efforts, build stakeholder engagement, and develop innovative strategies that align with business goals. By integrating sustainability into everyday business practices, you'll unlock opportunities for growth and contribute to long-term success. Aligned with the core principles of the Sustainability Excellence Associate credential from the International Society of Sustainability Professionals, this program also supports your journey toward certification. Start today to lead the way in sustainable business and create meaningful impact. Applied Learning Project There are no projects in this specialization. Learners' understanding will be assessed through a series of quizzes designed to evaluate their mastery of key concepts and skills, including module quizzes at the end of each module and a final summative assessment at the end of each course.

The course "Artificial Intelligence Industrial Control Systems Security" explores the intersection of artificial intelligence (AI) and industrial control systems (ICS) security, focusing on the safety, trust, and privacy of AI technologies within critical infrastructures. Learners will gain a comprehensive understanding of the key cybersecurity challenges faced by ICS and the role AI can play in mitigating these risks. Through the exploration of large language models (LLMs), regulatory frameworks, and advanced ICS protocols, students will learn how to implement robust security measures for AI systems and industrial control environments. The course stands out by providing hands-on learning experiences in critical areas such as supply chain risks, cybersecurity for PLCs, and OT protocols. By combining AI principles with real-world ICS security practices, learners will be equipped to analyze and respond to emerging threats in both AI and ICS sectors. This unique approach ensures a deeper, more integrated understanding of how AI can be applied to enhance cybersecurity in industrial environments. Whether you're a professional or a beginner, this course will prepare you to tackle the most pressing security challenges at the intersection of AI and industrial control systems.

Over seventy companies and tens of thousands of students worldwide have used Effective Communication to deliver ideas powerfully in the workplace. By taking Business Writing, Graphic Design, and Successful Presentation, you’ll hone your written, visual, and verbal business presentation skills. You'll learn to write well-organized, clear business documents; to design elegant presentation slides, reports, and posters; and to present and speak with confidence and power. In the final Capstone Project, you'll develop a portfolio of work—including a memo, a slide deck, and a presentation—to showcase your communication skills and represent your personal brand. The Effective Communication Specialization takes you on a journey of self realization. You’ll learn that excellence in communication involves the ability to express who you are—your best self—in everything you do. What our students say: "A life-changing specialization." "Simple yet powerful rules." "Essential for everyone." Applied Learning Project Each course offers you short projects that take you step-by-step through the foundational principles, organizational strategies, and concrete steps of writing and designing business documents and delivering a public presentation. In the capstone, you'll create a memo, slide deck, and presentation that synthesize your learning to give you the tools to communicate your ideas powerfully in the workplace.

This course can also be taken for academic credit as ECEA 5602, part of CU Boulder’s Master of Science in Electrical Engineering degree. Optical instruments are how we see the world, from corrective eyewear to medical endoscopes to cell phone cameras to orbiting telescopes. This course extends what you have learned about first-order, paraxial system design and optical resolution and efficiency with the introduction to real lenses and their imperfections. We begin with a description of how different wavelengths propagate through systems, then move on to aberrations that appear with high angle, non-paraxial systems and how to correct for those problems. The course wraps up with a discussion of optical components beyond lenses and an excellent example of a high-performance optical system – the human eye. The mathematical tools required for analysis of high-performance systems are complicated enough that this course will rely more heavily on OpticStudio by Zemax. This will allow students to analyze systems that are too complicated for the simple analysis thus far introduced in this set of courses.

This course can also be taken for academic credit as ECEA 5341, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our second course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled Sensors and Sensor Circuits. Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. This second course assumes that you already know how to use the kit. After taking this course, you will be able to: ● Understand how to specify the proper AC or DC motor for a machine design. ● Integrate the motor to a machine, based on analysis of motor equations for voltage, current, torque and speed. ● Implement the motor and accompanying rotary sensor into a motor control circuit in both hardware and software. ● Add a motor and motor control circuit into a microprocessor based development kit. ● Create hardware and firmware to process motor feedback data to a microprocessor for further evaluation. You will need to buy the following components to do the two course projects based on the videos in this module. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. These parts may be purchased off the Digikey web site, www. Digikey.com. Or, you may obtain the specs from the site, and purchase them elsewhere. These are the part numbers for the above table, the lab on Motor Voltage and Current Measurement. You can copy and paste them into the search engine on the Digikey web site. You need one of each except for the AA batteries (N107-ND), which you would need 3.

This course can also be taken for academic credit as ECEA 5630, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces basic concepts of quantum theory of solids and presents the theory describing the carrier behaviors in semiconductors. The course balances fundamental physics with application to semiconductors and other electronic devices. At the end of this course learners will be able to: 1. Understand the energy band structures and their significance in electric properties of solids 2. Analyze the carrier statistics in semiconductors 3. Analyze the carrier dynamics and the resulting conduction properties of semiconductors

This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree. In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to: - Identify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work - Execute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results - Compute confidence intervals on total-capacity estimates - Compute estimates of a cell’s equivalent-series resistance using lab-test data - Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors)

"Pressure, Force, Motion, and Humidity Sensors" can also be taken for academic credit as ECEA 5342, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our third course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled Sensors and Sensor Circuits. Our first course gives you a tutorial on how to use the hardware and software development kit we have chosen for the lab exercises. This third course assumes that you already know how to use the kit. After taking this course, you will be able to: ● Understand how to specify the proper AC or DC motor for a machine design. ● Integrate the motor to a machine, based on analysis of motor equations for voltage, current, torque and speed. ● Implement the motor and accompanying rotary sensor into a motor control circuit in both hardware and software. ● Add a motor and motor control circuit into a microprocessor based development kit. ● Create hardware and firmware to process motor feedback data to a microprocessor for further evaluation. After taking this course, you will be able to: ● Understand how to specify the proper pressure, force, strain, position, motion, acceleration, occupancy, and humidity sensors for taking real-time process data. ● Implement these sensors into an embedded system in both hardware and software. ● Add the sensor and sensor interface into a microprocessor based development kit. ● Create hardware and firmware to process sensor signals and feed data to a microprocessor for further evaluation. In this course you will build the circuit from Video 7 (Lab Exercise on strain gauges), Module 2 (Force and Strain Sensors and Touch Screens), and use it to make screen shots of the timing of the switch. If you haven't already wired up the system and written all the software per the instructions of Video 7, please do so now. You will need to buy the following components to complete this assignment. Note that if you have already purchased the PSOC 5LP PROTOTYPING KIT, you do not need to buy it again. These parts may be purchased off the Digikey web site, www. Digikey.com. One part needs to be purchased off the Sparkfun website www.sparkfun.com. Or, you may obtain the specs from the site, and purchase them elsewhere.