Building Smarter Software: GenAI Tools and Practices

Coursera via Coursera Specialization

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Provider

Coursera Specialization
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

4 weeks, 10 hours a week
Sessions

Self-Paced
Level

Intermediate

Found in

Overview

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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 Software Engineering Teams
Course 2: GenAI for Back-End Web Developers
Course 3: GenAI for Front-End Developers
Course 4: ChatGPT API for Developers: Integrate AI Effortlessly
Course 5: GenAI for Application Developers
Course 6: Software Creation: Version Control, Debugging, Object Design
Course 7: Manage Your Versions with Git (Part I)
Course 8: Create Your First Web App with Python and Flask

Courses

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In this 2-hour long project-based course, you will learn the basics of web application development with Python using the Flask framework. Through hands on, practical experience, you will go through concepts like creating a Flask Application, using Templates in Flask Applications, using SQLAlchemy and SQLite with Flask, and using Flask and WTForms. You will then apply the concepts to create your first web application with Python and Flask. This course is aimed at learners who are looking to get started with web application development using Python, and have some prior programming experience in the Python programming language. The ideal learner has understanding of Python syntax, HTML syntax, and computer programming concepts. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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This 1.5 hours project-based course is the first part of "Manage Your Versions with Git". In this course, you will learn about the ubiquitous Git version management system. Git is an industry standard that is used in virtually every major development platform and environment to manage code changes and versions. This class will deepen your understanding of how git works and the relevant terminologies. No specific coding experience is required but basic software development experience would be highly beneficial.
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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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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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“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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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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"GenAI for Software Engineering Teams" is an intensive one-hour course designed to transform the way software engineering teams operate. This course places a strong emphasis on collaborative methodologies and tools, empowering software engineering teams to enhance cross-functional integration, teamwork, and overall collaboration. This course is tailored for software engineers, developers, project managers, and other professionals involved in software development within an organization. It is ideal for individuals looking to enhance their collaborative skills, leverage AI tools for improved project outcomes, and address ethical considerations related to AI integration in software development. While not mandatory, having a basic understanding of software development principles and practices, familiarity with project management methodologies (e.g., Agile, Scrum), and comfort with using collaborative tools and platforms will help participants make the most of the course content and discussions. Additionally, the course covers essential topics related to the ethical use of AI and the challenges of incorporating advanced AI tools into existing software development workflows. By the end of the course, participants will understand how to effectively implement GenAI within their software engineering functions to meet organizational objectives.
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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.