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A software development / engineering course to also learn advanced topics like Vibe Coding, Drone Programming, DevSecOps What you'll learn: What all to do to become a successful Software Developer-OverviewWhat to learn and practice to become a software developerHow to prepare for software developer interviewsHow to apply for software development internship and jobsHow to explore career growth in software developmentLatest advances like Vibe Coding Want to become a Successful Software Developer / Engineer but don’t know where to start?Take a look at this course where you willNot only learn what to learn and do in a focused way to become a successful software developer / Engineer but alsoUnderstand how to learn and do all it takes to become a successful software developer / Engineer.Preview many lectures for free to see the content for yourselfGet Udemy’s 30 days Money Back GuaranteeGet 4 bonus lectures of my new courses every month through educational announcements in your emailEnroll for free in my any other course using the coupon link in my YouTube channel videos from time to time subject to availabilityMy exposure to aspiring Software Developers & Engineers started in 2020 when I started coaching the engineering students of two universities in Udaipur (Rajasthan, India) to get a job they wanted from the campus placements.I came across many computer science and computer application undergraduates and postgraduates students who did not know what to do to become a successful software developers or engineers.While they are learning programming languages like HTML, C++, Java, Python etc, they did not have a game plan to become a successful software developerI went on the journey of helping these students prepare a game plan for themselves and the results were very satisfyingI bring in this course my learnings from this journey and sharing with you how can you also become a Successful Software DeveloperLook at what are the other students saying about this course"Amazing""This course was great and eye-opening for me. I realized I was facing a lot of challenges in pursuing my career as a software engineer because I was not well-oriented, but this course went more than only orienting me but gave me the aspiration of not only becoming a software engineer but a successful Software Engineer and Developer. Thanks for this eye-opening course""Super helpful""ossam""Is getting to the point, pretty much straight to what I need to know""This course is indeed very helpful and a good advice especially since I am a graduating student.""i really like this my instructor is very good""perfect""Thanks . it's very useful course . I learned so much""Very good""Good experience""The lectures are well explained""Good Foundation for Newbie Programmer""It was a good try. i learnt a lot""He's explaining the course well.""The course materials were well-organized and easy to follow""The course is well detailed"Preview for yourself many lectures free. If you like the content, enrol for the course, enjoy and skill yourself to Become a Successful Software Developer / Engineer! If don't like the content, please message about how can we modify it to meet your expectations.Please remember that this course comes with Udemy’s 30 days Money Back Guarantee

Explore how generative AI is revolutionizing software development in this 20-minute keynote presentation that demonstrates the transformative power of AI tools for modern developers. Discover the latest advancements in artificial intelligence and learn about the powerful generative AI capabilities available on AWS that can accelerate development processes and enhance creative problem-solving. Gain insights into building robust, AI-driven applications while understanding the evolution from traditional software development to AI engineering. The presentation showcases practical applications of generative AI tools and provides guidance on harnessing these technologies to innovate and streamline development workflows. Recorded live at the AI Engineer World's Fair in San Francisco, this talk is delivered by Antje Barth, a Principal Developer Advocate for generative AI at AWS and co-author of O'Reilly books on Generative AI and Data Science on AWS.

1000+ GenAI Prompts to Accelerate Your Software Engineering Journey What you'll learn: Understand the fundamentals of Generative AI, including Transformers, Diffusion Models, and their relevance to software engineering.Access a curated 1000+ expert prompts tailored to accelerate software engineering tasks across coding, testing, DevOps, architecture, and security.Differentiate clearly between Predictive AI and Generative AI in the context of software development workflows.Explore real-world use cases of GenAI for code generation, bug fixing, documentation, DevOps automation, and architecture design.Master Prompt Engineering techniques: Zero-shot, Few-shot, Chain of Thought (CoT), Tree of Thought (ToT), and reusable prompt templates.Generate high-level software architectures, including ER diagrams, sequence diagrams, and make architectural trade-off analyses using GenAI.Auto-generate multi-file codebases, classes, modules, and functions while adhering to SOLID and DRY principles.Perform code refactoring, enhance readability, optimize performance, and add professional-grade documentation using AI assistance.Automate static code analysis, bug detection, anti-pattern recognition, and pull request reviews via Generative AI prompts.Learn how to generate Unit Tests, Integration Tests, E2E Tests, API Tests, Fuzz Tests, and achieve better code coverage.Build Dockerfiles, Kubernetes manifests, Terraform scripts, and automate GitHub Actions/GitLab CI/CD pipelines using GenAI.Design robust Infrastructure as Code (IaC) systems and automate monitoring setups with Prometheus and Grafana using prompt-driven workflows.Define and monitor Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to maintain operational excellence.Create automated runbooks and disaster recovery playbooks driven by AI to boost reliability engineering practices.Implement Secure Code Generation, threat modeling, vulnerability detection, and automate SOC2, HIPAA, GDPR compliance drafts.Apply AI-based tools for Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST). The "Generative AI for Software Engineers & Developers" course is designed to empower modern developers with the skills to integrate cutting-edge AI tools into the software development lifecycle. Beginning with a solid foundation, the course explains What is Generative AI through real-world examples, followed by an exploration of how GenAI works, covering Transformer and Diffusion models. Learners will clearly differentiate predictive AI from generative AI in software contexts, understanding how GenAI transforms tasks like code generation, bug fixing, documentation, DevOps automation, and architecture design. Practical examples include working with GPT-4, Claude 3, Codex, Gemini 1.5, and CodeLlama.A deep dive into the architecture of LLMs explains Transformer Networks and Self-Attention, alongside concepts like tokenization, context windows, and model limitations. Learners will compare fine-tuning vs in-context learning and study specialized code LLMs like Codex, StarCoder, CodeGen, and AlphaCode. Hands-on sessions introduce accessing model APIs via OpenAI, Hugging Face, and Anthropic. The course also builds expertise in prompt engineering covering effective principles, zero-shot, one-shot, few-shot prompting, Chain of Thought (CoT) and Tree of Thought (ToT) techniques, and creating reusable prompt templates.Moving into application design, learners will explore AI-suggested architecture patterns, generate ER diagrams, sequence diagrams, conduct architectural trade-off analyses, and evaluate technology stacks. Practical coding modules teach multi-file code generation, class/module/function creation, code refactoring using SOLID/DRY principles, adding documentation, and GenAI-driven PR reviews. Further sections focus on static analysis, bug detection, unit/integration testing, Dockerfile/Kubernetes manifest generation, IaC scripting, and monitoring setup using Prometheus and Grafana.Security is integrated through secure code generation, threat modeling prompts, compliance automation (SOC2, HIPAA, GDPR), and AI in SAST/DAST. Finally, learners receive access to a curated 1000+ prompts specifically designed for boosting software engineering productivity with Generative AI.

Dive into the future of coding with the Generative AI for Software Engineers & Developers Specialization, which will empower you to harness generative AI for software development. From crafting smarter code to streamlining workflows, you’ll master cutting-edge tools and techniques to stay ahead in the tech world. Following courses are part of this specialization: Getting Started with Generative AI: Learn autoencoders, GANs, and transformers. Master prompt engineering and fine-tuning with LoRA. Gemini and Vertex AI: Building Intelligent Applications: Build smart apps with Gemini and Vertex AI, focusing on agents and scalable deployment. Generative AI Coding Assistants for Developers: Boost productivity with GitHub Copilot, Tabnine, and Amazon Q for coding and CI/CD integration. Generative AI Tools for Modern Software Engineering: Use Cursor AI, Snyk, and Qodo for code navigation, quality, and secure development. This specialization is suitable for aspiring and practicing software engineers, developers, and tech enthusiasts eager to integrate AI into their workflows. Basic programming knowledge and familiarity with software development concepts is required to enroll for this specialization. Enroll now on Coursera to unlock your potential in AI-driven software engineering! Earn a shareable certificate and transform your career today.

Improve your Emotional Intelligence & Boost your career growth using Success@Work model with effective Practical Tips ! What you'll learn: Understand Why Emotional Intelligence is Important for Software EngineersThe Components & Model of EIRole of Emotional Intelligence in complete Software Engineering Team : From Developers to Project Managers.Difference in IQ & EQEI in Web Development, Software Testing, Project Management, Digital Transformations etcWhy Developers need to improve EIEffective Tips for raising EI in Software Development TeamsHow to Demonstrate Your EQ During Interviews As software developers, we have our image of what it means to be a good developer, and we also have a mental model of the road we started walking when we first entered the field as interns or as junior developers. Most of the time, we research what technical books to read, what courses to watch, which field to go into, web development, mobile development, or something else. The Technology, the tool - we get so involved in this wide array of choices, and so there is something very foundational that we might miss if we don’t pay enough attention and get lost in the technicality. There is a set of skills known as “soft” skills, and that forms the 'EI' or 'Emotional Intelligence'. Emotional intelligence is something everyone has, but which few of us really know how to channel or develop. Many Software Developers wrongly believe it to be a quality they simply don’t possess – and that if they weren’t born with it, it’s something there’s no hope of attaining later in life. But the good news for all of us is that emotional intelligence in general, and empathy in particular, are things we can train ourselves to have more of. More and more employers are looking for coders and Software Developers who have the right set of “soft skills”, such as the ability to work well with a team, to empathize with coworkers and customers, and to de-escalate emotional situations. All of these skills require a high degree of emotional intelligence. What is emotional intelligence, and why is it important? And how can software engineers, coders and programmers develop emotional intelligence before or during their career? You’ll learn the answers to those questions in this course. I assure you that after taking this course you'll say : I’ve come to understand why I previously avoided certain situations, the roots this had in particular emotions, and the impact all that had on my sense of self-worth. Getting an insight into what people around me want, and why they do what they do, has become dramatically easier for me. Because I can now understand them better, knowing how other people are probably going to act has become much easier. I’ve begun to find it much simpler to identify and engage in the small pleasures that brighten up my life and make me more productive. Difficult tasks like engaging in negotiation have come to be things I can take pleasure in. My Development efficiency has increased well, and I am now able to respond well to negative situations like downtime, outages etc. Top Reasons why you should choose this Course : This course is designed keeping in mind the students from all backgrounds - hence we cover everything from basics like EI fundamentals, and gradually progress towards more important topics around EI, seeing some practical tips to improve.This course can be completed over a Weekend.This course covers end to end introduction to EI and guide to be better at it.Useful resources will be shared time and again in the course to keep it updated with new ideas.All Doubts will be answered. Most Importantly, Guidance is offered in detail regarding the smallest of things that matters ! You will not only learn the process to improve your EI, but important principles - that will help you understand this crucial skill and help become more efficient in your current role, and grow faster ! A Verifiable Certificate of Completion is presented to all students who undertake this course.

This program provides a comprehensive introduction to .NET application development using the C# programming language. You will begin by grasping the fundamental structure of .NET applications, mastering C# syntax and semantics, and learning to leverage essential libraries and tools within the .NET framework. Key programming concepts such as variables, data types, control flow, and object-oriented programming principles will be thoroughly explored, alongside practical instruction on writing and executing C# code. Through hands-on, console-based projects, you will progressively develop your C# programming skills. Starting with the basics of writing code, you will advance to creating, running, and refining C# applications. The curriculum covers adding logic and structure using conditional statements and loops, effectively working with diverse variable and data types, and creating reusable methods for efficient code organization. Crucial debugging techniques will also be taught to enable you to identify and resolve issues in your programs. Upon completion of this module, you will possess a robust foundation in C# and the ability to confidently develop basic console applications, setting the stage for more advanced programming topics and .NET application development. The program further introduces the core concepts and principles underpinning web application development. You will gain an understanding of what constitutes a web application, its distinctions from a website, and the fundamental components involved in its creation. The material will likely cover essential introductory concepts for both front-end development (user interface) and back-end development (server-side logic). You will be introduced to basic web technologies and the general workflow for creating and deploying a simple web application. You will also learn to construct resilient backend solutions utilizing C# and .NET. This includes creating RESTful web APIs to facilitate client-server communication, designing secure endpoints, and managing data flow. You will acquire practical experience connecting APIs to databases and performing CRUD operations. Additionally, you will learn to structure applications for enhanced scalability and maintainability. The program introduces microservices architecture, guiding you through the creation and deployment of modular, cloud-ready services. By the end of this section, you will be well-prepared to build and deploy scalable backend systems. Furthermore, you will explore the foundational concepts and practical skills necessary for developing applications for both mobile and desktop environments. This includes understanding the various platforms, development tools, and programming languages utilized for each. You will gain insights into user interface design principles specific to mobile and desktop, as well as the underlying logic and functionality that power these applications. Moreover, you will be introduced to general software development practices applicable to both mobile and desktop environments, establishing a solid groundwork for building effective applications. Finally, you will establish a strong foundation in modern cloud development using Microsoft technologies. You will learn to implement Azure solutions (AZ-204), integrate Microsoft Graph for intelligent applications, modernize legacy systems using cloud-native tools, and migrate ASP.NET applications to Azure employing best practices such as rehosting and refactoring. This section equips you with the skills to develop, deploy, and manage scalable, secure cloud applications.

Learn how to build and program intelligent robots with this Robotics Software Engineer Nanodegree. Master ROS, path planning, and environment mapping through projects led by experts.

Designed for future product managers, developers, and team leaders, this Nanodegree helps you refine how you build, learn Agile, master sprints, and merge into real-world workflows with ease.

This Software Engineer Career Path is your step-by-step roadmap to go from beginner (at any age!) to getting hired as a Software Engineer at one of the Big Tech firms like Apple, Nvidia, Google, Microsoft, Meta, OpenAI and others. You’ll be guided through our curated curriculum to ace their tough interviews, and get into a company that pays upward of $300,000/year to their engineers.Ace the coding interview at top tech companies (Google, Amazon, Meta, Apple, Microsoft, Nvidia + others)Use the right Data Structures & Algorithms to answer coding interview questions using the optimal solutionBecome a better Engineer by mastering Computer Science fundamentalsInsider tips & tricks from Instructors who have worked for big tech companies and have actually gone through and aced the interview processHow to ace all of your interviews, get more job offers and a higher salary

Learn how to make yourself ready for software engineer interviews from a former Google interviewer. What you'll learn: Overall interview processWho they want to hireHow they interview candidatesGood/poor signalsInterview questionsHow to prepare phone/onsite interviewsPhone/onsite interview examples Are you a software engineer? And do you want to get a job at great software engineering companies like Google, Meta, OpenAI, orNVidia? If yes, you are at the right place!Getting a job offer from those companies is very challenging but not something you cannot get.You have already spent hundreds of thousands of dollars for your study and degrees, and I believe you are almost ready to get job offers. However, there are several missing pieces that you need to learn throughout this course. Getting a job offer means so many things:Your income would increase by a large amount, in some cases even more hundred thousand dollars.Better chance for your career development.You can work with great people. In this course, you will learn:Overall interview processes for internship position, full-time SWE, PhD candidates, and experienced SWEs.How to start your interview process.How to well prepare those technical interviews.Watch actual examples of phone and onsite interviews and see how they are evaluated. RequirementsSome coding skills, but not much.Great if you understand hash map and binary search tree, but not required.Desire to work as a software engineer. What to learn in this courseOverall interview processWho they want to hireHow they interview candidatesGood/poor signalsInterview questionsHow to prepare phone/onsite interviewsExamples. Target AudiencesCollege freshman/sophomore, looking for engineering practicum intern.College junior/senior or MS/PhD, majoring CS or related eng/science degree, looking for engineering intern.New college grad majoring engineering, looking for a fulltime position.Experienced software engineer/researcher, looking for a career advance.

Explore new opportunities in audio software development through an open dialog between mix engineers and audio software developers in this 51-minute conference talk from the Audio Developer Conference 2023. Delve into the evolving landscape of audio technology with Grammy-winning mix engineer Andrew Scheps as he discusses the impact of real-time digital audio processing, immersive formats, and complex productions on the industry. Gain insights into the wish list of professional audio creators and the exciting developments audio software developers are pursuing. Learn about Scheps' extensive experience working with renowned artists, his transition from touring musician to studio engineer, and his current work in Dolby Atmos Music and Sony 360. Discover topics such as object-based formats, Atmos Binaural, workflow improvements, plugin wishlists, demixing, immersive mixing, spatial audio, and vocal placement in stereo records.

Explore the fundamentals of Backstage and Red Hat Developer Hub (RHDH) in this 58-minute tech talk presented by Ian Lawson, Senior Principal Product Manager at Red Hat Developer. Discover how RHDH enhances Backstage's functionality with supported plug-ins, improving the developer experience and streamlining critical tasks. Learn about the advantages RHDH offers developers, understand the inner workings of Backstage, and gain insights into how platform engineers can leverage it to customize the developer experience. Benefit from Ian's extensive background in government development, Java, AI, and UX projects as he shares his expertise on OpenShift and Red Hat technologies.

Get an introduction to the programming skills needed for a career as a software developer. This learning path provides a broad perspective on core technologies for web development, software development, and databases. It introduces common tools and the bigger picture of how development careers work. Learn foundations of programming for software development.Practice with popular technologies like HTML and CSS.Explore core languages like Python, JavaScript, and Java.

Explore insights on building a successful software engineering career in this 19-minute conference talk from React Advanced London 2022. Gain valuable lessons and perspectives from Michel Weststrate's personal experiences as he shares both triumphs and challenges encountered while leading open-source projects, working as a freelancer, and transitioning from engineer to tech lead in startup and Meta environments. Discover potentially counterintuitive advice and unpopular opinions that may challenge conventional wisdom about career growth in the field. Learn practical takeaways applicable to engineers at various stages of their careers, and prepare to engage critically with the speaker's ideas to form your own conclusions about navigating a technology-focused professional path.

Explore the moral responsibilities and ethical dilemmas facing software engineers in this 50-minute conference talk from Android Makers. Examine the significant power developers wield in shaping technology that impacts millions of users daily, from medical cancer detection systems to spam bots, AI applications, and data-sensitive platforms. Learn to recognize and navigate ethical challenges through real-life examples, ranging from seemingly harmless decisions like questionable newsletter subscription practices to more complex issues involving password security and data handling. Discover how to identify subtle ethical problems that are difficult to detect and resolve, while understanding the broader consequences of your code on society. Gain insights into making responsible development decisions and contributing to better software engineering practices that prioritize user welfare and ethical standards in an increasingly connected world.

Get an introduction to the programming skills needed for a career as a software developer. This learning path provides a broad perspective on core technologies for web development, software development, and databases. It introduces common tools and the bigger picture of how development careers work. Learn foundations of programming for software development.Practice with popular technologies like HTML and CSS.Explore core languages like Python, JavaScript, and Java.

## Become an AI Developer with Practical Skills Start your journey to becoming an AI Engineer by learning how to integrate AI into software applications. In this Track, you'll gain hands-on experience using APIs and open-source libraries to create AI-powered systems that deliver enhanced functionality and user experiences. ## Master the Tools of the Trade Explore the essential tools and technologies used by AI Engineers, including: * The OpenAI API for leveraging powerful language models like GPT * Hugging Face's extensive repository of pre-trained models and datasets * LangChain for building applications with language models, prompts, chains, and agents * Pinecone vector database for efficient similarity search and recommendation systems Through practical exercises and real-world projects, you'll learn to utilize these tools to build chatbots, recommendation engines, semantic search, and more. ## Unlock the Power of Language Models Discover the potential of Large Language Models (LLMs) and how they're revolutionizing AI application development. Learn prompt engineering techniques to optimize model outputs for your specific use cases. Explore how embeddings can be used to create more advanced AI applications like semantic search and recommendation engines. ## Build Production-Ready AI Systems Gain insights into LLMOps, the practices for developing, deploying, and maintaining AI systems in production. Learn best practices for integrating third-party APIs reliably, handling rate limits and exceptions, and structuring model outputs for robustness. Apply software engineering principles to write modular, well-documented, and testable code. ## Launch Your Career as an AI Engineer By the end of this Track, you'll have the skills and portfolio to: * Develop AI-powered applications using industry-standard tools and best practices * Integrate AI functionality into backend systems and user-facing applications * Collaborate with data scientists and software engineers to bring AI projects to life * Stay at the forefront of the rapidly evolving AI landscape

Explore FPGA programming for software developers in this comprehensive conference talk from code::dive 2017. Delve into boolean logic, D flip-flops, and FPGA architecture. Learn about open-source tools, computer components, and Verilog programming concepts including blocks, assignments, and control structures. Discover how to implement an ALU, design a state machine, and create memory operations. Gain insights into instruction fetching, decoding, and execution. Examine testing methodologies, hardware connections, and practical applications using development boards. Acquire essential knowledge to bridge the gap between software development and FPGA programming.

In today’s fast-changing tech landscape, developers who can effectively integrate AI into their workflows are in high demand. This specialization equips experienced software professionals with practical, job-ready skills to boost productivity, streamline development, and improve code quality using tools like GitHub Copilot and ChatGPT. Through three hands-on courses, you’ll learn how to: Apply advanced prompt engineering to support AI-assisted coding, refactoring, and debugging Analyze full-stack applications with AI-powered support across front-end, back-end, and database layers Describe how to automate tasks such as testing, documentation, and API integration using AI tools Explain how AI assists developers to design scalable development workflows for collaborative teams Unlike generic AI courses, this program focuses on real-world software development use cases. You'll work with industry-standard tools like Visual Studio Code, explore multi-layer systems, and build projects that reflect the full software development lifecycle—from initial design to deployment. By the end of the program, you’ll have a portfolio of AI-enhanced strategies that enhance your ability to improve team performance and deliver high-quality software at scale. Ideal for software engineers, full-stack developers, and technical leads looking to stay ahead in a rapidly evolving industry, this specialization gives you the skills to lead the next wave of AI-enhanced development.

Code and run software tests websites without installing anything! This course is designed for learners who have some experience with JavaScript but a novice to software testing. The modules in this course covers the fundamentals of testing with Jest; popular testing paradigms like test-driven development, behavior-driven development, user accepting testing, etc.; and commonly used tools like JMeter, Postman, and Cucumber. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course. Course Learning Objectives: Write unit tests with Jest Develop software using test-driven development Test APIs with Postman Test software with popular tools such as JMeter, Selenium, and Cucumber