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January 28, 2025
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Coding with Generative AI - An Introduction . Master strategies and techniques to code with Generative AI
Instructors: Fractal Analytics
Included with
(14 reviews)
Recommended experience
Beginner level
At least some programming skills specially in Python would be an added advantage. Roles in technology space would be an added advantage.
(14 reviews)
Recommended experience
Beginner level
At least some programming skills specially in Python would be an added advantage. Roles in technology space would be an added advantage.
Evaluate techniques and best practices for optimizing generative AI tools in coding workflows, ensuring responsible and ethical use.
Implement natural language techniques and generative models to enhance and maintain Python code quality, and rectify common coding errors.
Analyze the impact, evolution, and challenges of generative AI, and articulate its role and applications in society and organizations.
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Unlock the future of coding with generative AI, and excel your programming skills and deepen your understanding of AI’s transformative power. Perfect for you to integrate advanced AI tools into your workflows, with a blend of technical mastery and ethical insight, ensuring you stay at the forefront of technology.
What’s in it for you?
Explore how to refine prompt engineering to optimize code generation. Learn best practices for leveraging AI tools effectively and responsibly, ensuring your coding is both cutting-edge and ethically sound. Make your workflows more efficient and innovative.
Gain hands-on experience using natural language to boost code quality and maintainability. Dive into generative models and neural network architectures to accelerate your coding prowess. Identify and fix common errors, writing cleaner, more efficient Python code.
Explore how generative AI is shaping society and enhancing organizational efficiency. Analyze the current and future trends of AI, understanding its challenges and principles of responsible use. Make informed decisions and lead groundbreaking projects.
By the end of this course, you'll gain a robust understanding of generative AI in coding, practical techniques for superior code development, and a deep awareness of AI's ethical implications. Whether you’re a software developer, data scientist, or tech enthusiast, this course equips you with the insights and tools to excel in your career.
Applied Learning Project
There are two major projects included in this specialization.
Nature of Projects
Develop a Python program combining user input with generative AI for Mad Libs stories.
Clean and explore a retail sales dataset to prepare for analysis using Python and AI tools.
Skills to be Applied:
Data Collection & Cleaning - Identify Mad Libs templates and clean data.
User Input & Interface Design - Design interfaces for user word input and data handling.
Generative AI Integration - Enhance Mad Libs with AI-generated content and assist with code completion/debugging.
Output Presentation & Visualization - Creatively format Mad Libs stories and visualize sales data insights.
These projects will enhance your programming skills, integrate generative AI for storytelling and data handling, and develop critical thinking. They are designed to prepare you for advanced tech roles by solving authentic problems and designing solutions.
Analyze the core principles and societal impacts of Generative AI, including its influence on organizational efficiency and its progressive evolution
Apply interactive methods with Generative AI through prompts and assess diverse applications, along with their operational mechanisms and advantages
Evaluate the ethical considerations and responsible deployment of Generative AI to ensure its beneficial integration into our lives.
Fundamental Concepts of Generative AI
Apply generative AI tools and techniques to solve real-world coding challenges.
Dive into the forefront of coding evolution with our comprehensive course, "Generative AI - Your Personal Code Reviewer." This immersive course is tailored for learners seeking to unlock the full potential of generative AI in the world of code review and enhancement.
Throughout this journey, you'll gain in-depth knowledge, equipping them with the tools needed to revolutionize their approach to code assessment. You'll begin by understanding the fundamentals of generative AI, exploring advanced debugging techniques, adding code comments, refactoring, and generating code for specific tasks such as data cleaning and machine learning. Along the way, you'll also explore the importance of prompt engineering for crafting effective prompts and examine potential pitfalls and ethical implications associated with using generative AI for code review and debugging. By the end of this course, you'll possess the skills and knowledge needed to leverage generative AI effectively in code review, debugging, and code enhancement. Join us on this transformative journey and unleash the power of generative AI in your coding endeavors.
This one-week microlearning course provides an introduction to the Principles of Responsible AI and how those principles align with the Generative AI or GenAI space.
It also informs the learners about the various challenges that Generative AI brings. You will explore the fundamental principles of responsible AI, and understand the need for developing Generative AI tools responsibly. By the end of this course, you will be able to discuss the challenges posed by Generative AI and the principles of Responsible AI.
Continuous learning is imperative to stay relevant in the world of Data Analytics and AI. Fractal Analytics Academy is your learning partner for all your learning requirements. We offer a variety of learning solutions; from instructor led trainings to blended learning and eLearning covering consulting and business skills, technical skills and life skills.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
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This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.