Pic Programming Course

[Lara Preece]

Thiscourse introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.

Designed for aspiring and established leaders in any industry, HBAP equips participants with the machine learning and data analysis tools they need to incorporate innovative tech into their business strategy, at the top levels of their organization.

Cisco Networking Academy courses are designed to prepare you for Cisco Certification and other industry recognized certification exams. Cisco Certifications are highly valued by employers globally, as they demonstrate your exceptional skills, relevant to many industries, including medical, legal, food and beverage and more.

Networking Academy courses can be taken in person at over 10,400 learning institutions around the world. Some of our courses can be taken online, right here through netacad.com. Click "learn more" on a course above to see which options are available.

Inspired to understand the technology behind multiplayer games, Veronika Klauzova turned a passion for technology into a career. Teaching Cisco CCNA courses at the Technical University of Košice in the Slovak Republic led to a job as a Customer Support Engineer at Cisco.

Programming courses cover a wide range of topics essential for developing skills in various programming languages and software development techniques. These include the basics of programming languages such as Python, Java, and JavaScript, as well as foundational concepts like variables, data types, and control structures. Learners will explore topics such as object-oriented programming, data structures and algorithms. Advanced courses might cover web development, mobile app development, and software engineering principles. Practical exercises and projects help learners apply these concepts to real-world coding scenarios.

Choosing the right programming course depends on your current skill level and career aspirations. Beginners should look for courses that cover the basics of a specific programming language, including syntax, basic programming concepts, and simple projects. Those with some experience might benefit from intermediate courses focusing on more advanced topics such as data structures and algorithms, and object-oriented programming. Advanced learners or professionals seeking specialized knowledge might consider courses on full-stack web development, mobile app development, or preparing for certifications like AWS Certified Developer or Microsoft Certified: Azure Developer. Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your goals.

A certificate in programming can open up various career opportunities in software development and IT. Common roles include software developer, web developer, mobile app developer, and systems analyst. These positions involve writing and maintaining code, developing applications, and ensuring software functionality and performance. With the growing demand for skilled programmers across industries, earning a programming certificate can significantly enhance your career prospects and opportunities for advancement in fields such as technology, finance, healthcare, and e-commerce.

This is the first video in the Prologue of the Performance-Aware Programming series. It is a brief introduction to what the course is about. Please see the Table of Contents to quickly navigate through the rest of the course as it is updated weekly. A lightly-edited transcript of the video appears below.

Optimization is a well-known practice that has been happening in programming for generations. It refers to taking a particular program - often on a particular piece of hardware - and trying to maximize the performance. Typically this involved a lot of special-purpose knowledge about that hardware. It often meant getting really creative with how you manipulated parts of the hardware to get extra performance, perhaps even in ways no one really thought was possible until someone figured it out.

When we're talking about traditional optimization, that kind of thinking may well be correct. But nowadays we have entered an era of software where there's a different problem, separate from the idea of trying to maximize the performance of your program on a given piece of hardware.

Hello, and welcome to the Performance-Aware Programming Series! If you don't know what \u201CPerformance-Aware Programming\u201D is, you're not alone. I made up the term for this course. I've never heard it before. But I needed a term to distinguish what we\u2019ll be doing in this course from what we used to call \u201Coptimization\u201D.

True optimization of this kind is still happening today. But one of the problems we now face is that when people think of performance, they're only thinking of this old-school kind of optimization. They may think that it would be too difficult for them to do, because it's too complicated and requires too much special knowledge. Or, even if they think they could learn to do it, they might think it wouldn\u2019t be worth the time to do within their typical product schedule.

Nowadays, due to common programming practices, tool chains, methodologies - whatever you want to call the overall way in which we program - the average program tends to be extremely slow. Not slow like in the old days where maybe it wasn't as fast as it should be on the hardware, and we sit down to try and get 50% more performance out of it, or maybe 70% more performance if we\u2019re really gung-ho. Not like that.

Modern software is more like 1000 times slower than it should be. We\u2019ve moved into is an era where optimization, while still happening and still great, is not really what the average programmer is missing. What's missing is a general performance awareness so that the software we produce can be more reasonably performant. It doesn't have to get all the performance out of the hardware it's running on. It just needs to not be horribly inefficient.

With respect to all those reasons I said before - maybe you don't have enough time, maybe you don't have enough training on the hardware - it still may be true that real optimization isn\u2019t feasible, or there isn\u2019t a good business case for it. But I would argue there is always a business case for performance-aware programming - learning how performance works and then making smart, reasonable decisions based on that. It pays tremendous dividends, either in terms of user experience or in terms of lower server farm bills, or a host of other things like that.

So I am using the term \u201Cperformance-aware programming\u201D to label that practice, and that's what this course is about. It\u2019s designed to give you all of the information you need to understand why software is either fast or slow, and to understand how the decisions you make affect the gradient of software performance. It\u2019s an effort to try to get everyone back onto the same page where we're no longer writing software that's 1000x times slower than it should be, or 10,000x times slower than it should be.

Please note, that this is a legacy course. It is no longer possible to gain ECTS credits for completing the course. The course content is also no longer updated or maintained. You can find our current Python course here

During this course, you will learn the basics of computer programming, along with algorithms and object-oriented programming through the Java programming language. The course includes comprehensive materials and plenty of programming exercises - all of which are tested using our automatic testing service Test My Code.

The course is split up into two individual courses: Java Programming I and Java Programming II. Each course consists of seven parts, each with its own exercise set. Completing a single part takes approximately 5-20 hours, and we recommend reserving at least 10 hours per part, depending on prior skills with computers.

This course is a deep dive into the world of PlayStation programming! We'll explore the PS1 hardware, understand its sub-components, and learn how to code games using MIPS assembler & the C programming language. We'll also learn how to use a PS1 SDK library paired with a modern development toolchain to be more productive and push fast polygons out of our console.

We are about to enter the 5th generation of 32-bit consoles. This era brings with it many technology milestones, such as the adoption of CPUs based on RISC architecture and a preference for coding using a high-level language instead of writing games using plain assembly. We will start by learning the basics of MIPS assembly and evolve to use a C compiler with a PS1 SDK to develop our final project.

This course tries to be as beginner-friendly as possible. While there are other resources out there on PlayStation development, we'll focus on the basics and try not to skip any important detail as we evolve.

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