Building Smarter Software: GenAI Tools and Practices

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This specialization empowers software developers to harness Generative AI tools across the entire development lifecycle. Learn to integrate AI-powered solutions into front-end, back-end, mobile, and DevOps workflows while mastering essential software development fundamentals including version control, debugging, and testing management for enhanced productivity and code quality.

Syllabus

Course 1: GenAI for Back-End Web Developers
Course 2: GenAI for Front-End Developers
Course 3: GenAI for Mobile App Developers (iOS, Android)
Course 4: ChatGPT API for Developers: Integrate AI Effortlessly
Course 5: GenAI for DevOps Practitioners
Course 6: GenAI for Application Developers
Course 7: Software Creation: Version Control, Debugging, Object Design
Course 8: Test Management in Software Testing
Course 9: GitLab AI: Mastering AI Pair Programming with GitLab Duo

Courses

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2 hours 4 minutes
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"Software Creation: Version Control, Debugging, Object Design" is concise yet comprehensive course designed to introduce the foundational elements of modern software development. Focused on the essential skills of version control, debugging, and object-oriented programming, this course is structured to provide a blend of theoretical understanding and practical application. Participants will embark on a journey from learning the basics of Git and debugging techniques to exploring the principles of object-oriented programming and design patterns. This course is tailored for aspiring software developers, computer science students, IT professionals, hobbyists, system administrators, and educators who are eager to delve into the world of software development. It is suitable for individuals with basic computer literacy and a passion for learning about programming practices and principles. Prior to enrolling in this course, participants should possess basic computer literacy and be comfortable navigating web browsers and software applications. Additionally, a genuine eagerness to explore the principles and practices of software development is essential for maximizing the learning experience. Through a series of targeted lessons and hands-on exercises, this course aims to equip budding software developers with the tools and knowledge necessary to navigate and succeed in the complex landscape of software creation.
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1 hour 56 minutes
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GenAI for Back-End Web Developers is an in-depth course designed to explore the transformative impact of Generative Artificial Intelligence on back-end development. This course provides an understanding of how GenAI can be leveraged to enhance various development functions, including code generation, database management, API development, and performance optimization. This course is designed for web development team leaders and back-end developers who want to enhance their coding and system management capabilities using GenAI. It is also suitable for aspiring web engineering professionals looking to future-proof their skills and gain a competitive edge by mastering GenAI integration in web development. Participants should have a basic understanding of back-end development concepts, including server-side languages, databases, and APIs. Familiarity with development tools like Git, Docker, and various IDEs is recommended, along with a curious and open mindset towards learning new technologies and integrating GenAI tools into their workflows. By the end of this course, developers will be equipped with the knowledge and skills to harness the transformative potential of GenAI, driving efficiency, innovation, and strategic insights in their work.
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2 hours 43 minutes
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“GenAI for Application Developer” is tailored for professionals eager to integrate AI into their development workflow. This comprehensive course introduces Gemini for Google Cloud (Duet AI), emphasizing its potential to streamline coding, debugging, and deployment processes. Learners will gain hands-on experience with Gemini for Google Cloud (Duet AI) tools, learning how to leverage them for enhanced productivity and efficiency in application development. This course is designed for team leads, managers, senior developers, and software engineers. It is ideal for those who wish to integrate GenAI into their strategic initiatives for enhanced productivity, streamline their workflows, and advance their careers by mastering cutting-edge GenAI applications in application development. Participants should have a basic understanding of software development, debugging, and deployment processes. Familiarity with programming languages like Python, Java, or JavaScript is recommended. An open mindset towards incorporating Generative AI (GenAI) tools and techniques, along with a curiosity to experiment and learn, will help maximize the benefits of this learning experience. By the end of the course, learners will have a robust understanding of GenAI for application development. They will be able to implement Gemini for Google Cloud (Duet AI) in their projects to accelerate development cycles, reduce errors, and maintain high standards of code quality.
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2 hours 8 minutes
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This course delves into how Generative Artificial Intelligence (GenAI) is transforming front-end development. Through discussions, video demos, and guided hands-on activities, you'll discover how GenAI can boost productivity in UI/UX design, code generation, testing, and documentation. Additionally, the course addresses ethical concerns, risks, and best practices for responsible GenAI use in front-end development. This course is ideal for team leads and managers guiding front-end development teams, individual front-end developers seeking to enhance their workflows with GenAI tools, and aspiring front-end developers looking to future-proof their skills and gain a competitive edge in the field. Learners should have a solid understanding of HTML, CSS, JavaScript, and common front-end frameworks like React, Angular, or Vue, along with experience in UI/UX design principles and basic knowledge of version control systems like Git. Additionally, an open mindset towards incorporating GenAI tools and a willingness to experiment with new technologies are essential. Whether you're an experienced front-end developer looking to stay ahead of the curve or an aspiring professional seeking to future-proof your skillset, this course provides a foundation that will empower you to unlock new levels of efficiency, productivity, and creativity in your work.
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2 hours 22 minutes
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At the GenAI Academy, the "GenAI for Mobile App Developers" course explores the transformative power of Generative Artificial Intelligence (GenAI) in mobile app development practices. This comprehensive course equips participants to harness the capabilities of GenAI to streamline their development workflows. Through interactive discussions, video demonstrations, and hands-on exercises, attendees will discover how GenAI can optimize efficiency in mobile app testing, user interface optimization, performance analysis, and automation. The curriculum also addresses the challenges and best practices associated with implementing GenAI in mobile app development. The "GenAI for Mobile App Developers" course is designed for experienced mobile app developers who aim to stay current with emerging technologies and improve their development skills. It also targets newcomers to the field who want to future-proof their skillset and gain a competitive edge in the job market. Additionally, professionals seeking to upskill and enhance their expertise in mobile app development will benefit from this course. No prior knowledge of artificial intelligence is required for this course. However, participants should have a solid understanding of mobile app development principles and practices to fully grasp the applications of GenAI in this context. By the end of the course, learners will be able to identify and apply GenAI capabilities to streamline tasks such as testing, user interface optimization, and performance analysis. Participants will explore real-world applications of GenAI, assess its impact on mobile app development, and develop strategies for its ethical integration into their workflows.
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2 hours 32 minutes
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As part of the GenAI Academy, "GenAI for DevOps Practitioners" is an exploration of how Generative Artificial Intelligence (GenAI) is transforming the field of DevOps. This course is a primer where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools in their day-to-day DevOps work. Through a combination of discussions, video demos, and guided hands-on activities, learners will gain an understanding of how GenAI can enhance productivity for code generation, infrastructure as code (IaC), continuous integration/continuous deployment (CI/CD) pipeline optimization, and automated documentation. This course is designed for team leads, managers, and DevOps engineers aiming to enhance efficiency and innovation by integrating GenAI tools into their workflows. It's also ideal for aspiring DevOps practitioners who want to future-proof their skills and gain a competitive edge by mastering GenAI in DevOps. Participants should have a solid grasp of DevOps fundamentals like CI/CD, infrastructure as code, and automation. Familiarity with tools like Git, Jenkins, Docker, Kubernetes, and experience in Python or Shell scripting is essential. An open, curious mindset towards exploring GenAI will be crucial for success. By the end of the course, learners will discover the capabilities of GenAI in enhancing code generation, infrastructure as code, and CI/CD pipeline optimization. They will apply GenAI techniques to real-world DevOps tasks, gaining hands-on experience and evaluating its impact on productivity. Additionally, learners will consider the ethical implications of GenAI, developing strategies for responsible integration while maintaining human oversight and accountability in their DevOps practices.
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3 hours 58 minutes
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Have you ever wondered how AI can revolutionize your coding workflow? This short course is designed for intermediate developers aiming to master GitLab Duo's AI pair programming capabilities. It will equip you with the skills to effectively use this AI-powered tool to boost coding quality, efficiency and productivity. By the end of this course, you will be able to: • recognize the esential features and uses of GitLab Duo AI-pair programming for enhanced productivity and code quality; • set up and configure GitLab Duo for AI-pair programming and seamless integration with your own coding processes; • apply best practices for using GitLab Duo and its Code Suggestions feature, for optimized coding workflows; and • apply GitLab Duo's Code Suggestions in practical coding scenarios to optimize your project efficiency. This course combines practical demonstrations with actionable insights, enabling learners to integrate GitLab Duo seamlessly into their development process. Learners should have a basic understanding of GitAI, since the course includes practical examples in Python, functional knowledge of this programming language would be helpful.
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4 hours 14 minutes
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This course on Test Management will provide learners with the essential skills to effectively plan, execute, and assess testing processes in software development. It caters to both beginners looking to grasp foundational concepts and intermediate professionals aiming to refine their testing management skills. Through practical examples and interactive exercises, participants will learn key test management principles, tools, and best practices that enhance software quality. This course is ideal for software testers, QA engineers, project managers, and team leaders who want to improve their understanding and skills in managing testing processes. A basic understanding of the software development life cycle (SDLC) and familiarity with software testing concepts will be helpful for this course. By the end of this course, learners will be equipped to implement effective test management strategies that contribute significantly to project success.
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2 hours 58 minutes
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"Hey Siri, what's the weather today?" "Alexa, play my favorite playlist." AI is becoming as common as your morning coffee. Look at what's happening in the real world: Duolingo has transformed how millions learn languages by adding their ChatGPT-powered AI tutor that gives personalized explanations in seconds. Even Snapchat's chatbot "My AI" is having millions of conversations with users every day. The world of AI isn't some far-off sci-fi dream – it's happening right now, and developers like you are at the heart of it. Ready to build something awesome with AI? This course is unique because it doesn’t just stop at theory. You’ll gain hands-on experience in real-world API tasks, enabling you to build practical applications while learning to balance performance, cost, and API optimization effectively. By completing this course, you'll be able to seamlessly integrate ChatGPT API into your projects, quickly authenticate and configure parameters, analyze responses for improvements, and create practical AI-powered solutions that you can apply the very next day at work. By the end of this 2-hour course, you will be able to: - Explain the fundamental concepts of tokens, models, and rate limits in the context of the ChatGPT API. - Construct basic API calls to ChatGPT using proper authentication and parameters to generate appropriate AI responses for simple use cases. -Differentiate between various ChatGPT API use cases to select the most suitable model and parameters for specific application requirements. -Design effective prompts that optimize ChatGPT API responses for common use cases like content generation and text analysis. To be successful in this course, you should have: -Python installed on your computer. Familiarity with Python is recommended but not mandatory. -A free subscription to the OpenAI API. -A background in basic programming concepts and experience working with APIs. And to help you master these concepts, each lesson includes a practice quiz. You will also have a hands-on coding exercise to reinforce your learning and a final graded assessment that tests your ability to apply these skills in real-world scenarios. Want to get the most out of this course? Here's your blueprint for success: -Code along with the lessons—don't just watch. -Test your API calls with different parameters. -Keep track of your API usage and costs. -Document your error messages and solutions. -Complete all practice exercises before moving to the next lesson. Remember, this isn't just about passing a quiz—it's about building real-world skills you can use immediately. Take your time with the exercises, experiment with different approaches, and don't hesitate to revisit lessons when needed.