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Welcome to the 'Gen AI for Code Generation for Python' course, where you'll embark on a journey to explore and develop your skills in the art of code generation with Generative AI.

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Welcome to the 'Gen AI for Code Generation for Python' course, where you'll embark on a journey to explore and develop your skills in the art of code generation with Generative AI.

Throughout this short course, you will delve into various techniques for generating Python code effortlessly, ranging from simple scripts to complete end-to-end projects. By the course's conclusion, you will be able to:

- Generate code with the help of the Generative AI tool

- Implement strategies to design precise prompts for optimal code output

- Analyze the quality and efficiency of the generated Python code

- Create diverse Python projects using Gen AI's code-generation tools

- Create diverse test scenarios using ChatGPT to cover various aspects of software functionality

-Generate effective test cases with ChatGPT encompassing different use and potential edge cases

-Evaluate the best practices in AI-driven code generation

-Practice refining and optimizing generated code for real-world applications

This course is tailored for freshers, Python developers, and coding enthusiasts eager to harness the power of Generative AI in their coding journey.

Prior experience with Generative AI and Prompt Engineering concepts can provide a beneficial foundation for this course.

Embark on a creative journey to enhance your proficiency in generating visually captivating Python code for a wide range of purposes.

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What's inside

Syllabus

Mastering Code Generation with Generative AI
This course empowers learners with the skills and knowledge needed to excel in code generation using generative AI. It offers practical guidance on optimizing prompts for superior output and fosters a deep understanding of generative AI models and their capabilities. By the course's conclusion, participants will be well-prepared to produce high-quality code, automate tasks, and create custom tools, enhancing their productivity and creativity as developers. This course is designed for learners of all levels, from beginners to experienced developers. Prior coding experience in Python is a plus, but no prior experience with generative AI is required..

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides Gen AI knowledge and skills for Python developers
Focuses on Generative AI and Prompt Engineering techniques
Creates test scenarios using ChatGPT and generates effective test cases
Taught by Edureka, recognized for their work in online education
Emphasizes best practices in AI-driven code generation
May require some background knowledge in Generative AI and Prompt Engineering

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Gen AI for Code Generation for Python with these activities:
Recall key concepts related to Python coding and Generative AI
Enhance your understanding of the core concepts covered in the course by reviewing and refreshing your knowledge.
Browse courses on Python Programming
Show steps
  • Go through your notes or revisit textbooks to revise key Python concepts
  • Read articles or blog posts on Generative AI and its applications
  • Participate in online forums or discussions to engage with others and clarify your understanding
Brush up on Python coding basics
Start the course with a refreshed memory of Python coding fundamentals to set a strong foundation.
Browse courses on Python Basics
Show steps
  • Review online tutorials or documentation on Python basics
  • Solve simple Python coding challenges or exercises
Python Refresher
Review core principles of Python, such as variables, data types, and control flow, to solidify your understanding before embarking on the course.
Browse courses on Python Basics
Show steps
  • Review Python syntax and data structures.
  • Practice writing simple Python programs using basic operations and control flow.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Code generation resources compilation
Gather and organize a collection of useful resources related to code generation, including tutorials, documentation, and examples.
Browse courses on Code Generation
Show steps
  • Locate and gather relevant resources from various sources.
  • Organize and categorize the resources for easy access and reference.
  • Share the compilation with peers to facilitate collective learning.
Follow tutorials on generative AI and code generation
Explore tutorials and online resources to gain practical knowledge and refine skills in generative AI for code generation.
Browse courses on Code Generation
Show steps
  • Identify tutorials and resources that align with learning objectives.
  • Follow the instructions and work through the exercises provided in the tutorials.
  • Experiment with different techniques and apply them to personal projects.
Explore Code Generation Tools
Enhance your grasp of Generative AI by delving into online tutorials and documentation on code generation tools such as ChatGPT.
Show steps
  • Identify and install reputable code generation tools.
  • Experiment with different tools to understand their capabilities and limitations.
  • Explore tutorials on prompt engineering to optimize code generation.
Code generation exercises
Practice writing code generation prompts, creating test cases for ChatGPT, and applying AI-driven code generation techniques to refine and enhance code.
Browse courses on Code Generation
Show steps
  • Craft precise prompts to guide code generation.
  • Design test cases to evaluate the accuracy and efficiency of generated code.
  • Utilize AI-driven code generation to enhance existing code functionality and optimize performance.
Practice generating Python code with Generative AI tools
Hone your skills in generating Python code using Generative AI tools through dedicated practice exercises.
Show steps
  • Use Generative AI platforms like ChatGPT or Codex to generate Python code based on different prompts
  • Analyze the generated code for accuracy, efficiency, and maintainability
  • Refine prompts based on feedback to improve code quality
Attend Generative AI for Code Generation Workshops
Expand your knowledge and network by attending workshops focused on generative AI for code generation.
Show steps
  • Search for and identify relevant generative AI for code generation workshops.
  • Register and attend the workshops to gain insights from industry experts.
  • Engage with speakers and participants to exchange ideas and learn from their experiences.
Develop a mini-project
Develop a small-scale project using Generative AI for code generation to solidify understanding and apply knowledge.
Browse courses on Code Generation
Show steps
  • Define a project scope and objective.
  • Gather and prepare the necessary data.
  • Design and implement the Generative AI model.
  • Train and evaluate the model.
  • Deploy and use the model to generate code.
Code Generation Exercises
Reinforce your skills by practicing code generation using various prompts and scenarios.
Show steps
  • Generate code snippets for common programming tasks using Generative AI tools.
  • Experiment with different prompts to observe how they influence the generated code.
  • Analyze the quality and efficiency of the generated code, identifying potential improvements.
Contribute to Open-Source Code Generation Projects
Enhance your understanding and contribute to the community by participating in open-source code generation projects.
Show steps
  • Identify open-source code generation projects that align with your interests and skills.
  • Explore the codebase and identify potential areas for contribution.
  • Discuss your ideas with the project maintainers and contribute your code.
Explore advanced Generative AI techniques for code generation
Expand your knowledge of Generative AI for code generation by exploring advanced techniques to enhance the quality and efficiency of generated code.
Browse courses on Prompt Optimization
Show steps
  • Research best practices for prompt optimization and model fine-tuning
  • Follow tutorials or online courses on advanced Generative AI techniques
  • Experiment with different techniques to improve the accuracy and efficiency of generated Python code
AI-Generated Code Projects
Demonstrate your mastery by undertaking projects that leverage AI-generated code to solve real-world problems.
Show steps
  • Identify a problem or task that can be addressed using AI-generated code.
  • Design and implement a solution using the code generated by Generative AI tools.
  • Evaluate the effectiveness of your solution and identify areas for improvement.
Best Practices Guide for AI-Driven Code Generation
Synthesize your knowledge by creating a comprehensive guide outlining best practices for AI-driven code generation.
Show steps
  • Research and compile information on best practices for prompt engineering, code quality evaluation, and ethical considerations.
  • Organize and structure the guide in a logical and accessible manner.
  • Share your guide with the community to contribute to the advancement of AI-driven code generation.

Career center

Learners who complete Gen AI for Code Generation for Python will develop knowledge and skills that may be useful to these careers:
Computer Scientist
Computer Scientists research and develop new computer technologies. They work on a variety of topics, from artificial intelligence to computer architecture. This course will provide you with the skills and knowledge you need to succeed as a Computer Scientist. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Computer Scientist.
Data Scientist
Data Scientists use data to solve business problems. They work on a variety of tasks, from data analysis to machine learning. This course will provide you with the skills and knowledge you need to succeed as a Data Scientist. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Data Scientist.
Software Engineer
Software Engineers design, develop, and maintain software systems. They work on a variety of tasks, from writing code to testing and debugging software. This course will provide you with the skills and knowledge you need to succeed as a Software Engineer. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Software Engineer.
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, build, and maintain AI systems. They work on a variety of tasks, from developing new algorithms to deploying AI models in real-world applications. This course will provide you with the skills and knowledge you need to succeed as an Artificial Intelligence Engineer. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Artificial Intelligence Engineer.
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models. They work on a variety of tasks, from collecting and cleaning data to training and deploying models. This course will provide you with the skills and knowledge you need to succeed as a Machine Learning Engineer. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Machine Learning Engineer.
Computational Scientist
Computational Scientists use computers to solve scientific problems. They work on a variety of topics, from climate modeling to drug discovery. This course will provide you with the skills and knowledge you need to succeed as a Computational Scientist. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Computational Scientist.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. This course will provide you with the skills and knowledge you need to succeed as a Data Analyst. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Data Analyst.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. This course will provide you with the skills and knowledge you need to succeed as a Project Manager. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Project Manager.
Business Analyst
Business Analysts help businesses improve their performance by identifying and solving problems. This course will provide you with the skills and knowledge you need to succeed as a Business Analyst. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Business Analyst.
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. This course will provide you with the skills and knowledge you need to succeed as a Database Administrator. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Database Administrator.
Network Administrator
Network Administrators are responsible for the maintenance and performance of networks. This course will provide you with the skills and knowledge you need to succeed as a Network Administrator. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Network Administrator.
Product Manager
Product Managers are responsible for the development and launch of new products. This course will provide you with the skills and knowledge you need to succeed as a Product Manager. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Product Manager.
Systems Analyst
Systems Analysts analyze and design computer systems. This course will provide you with the skills and knowledge you need to succeed as a Systems Analyst. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Systems Analyst.
Software Tester
Software Testers test and evaluate software to ensure it meets requirements. This course will provide you with the skills and knowledge you need to succeed as a Software Tester. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Software Tester.
Web Developer
Web Developers design and develop websites. This course will provide you with the skills and knowledge you need to succeed as a Web Developer. You will learn how to use generative AI to generate Python code, optimize prompts for superior output, and evaluate the quality and efficiency of the generated code. This course can help you build a foundation in generative AI and code generation, which are essential skills for any Web Developer.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Gen AI for Code Generation for Python.
Provides a hands-on introduction to deep learning for coders. It covers the basics of deep learning, how to build and train deep learning models, and how to use deep learning models for a variety of tasks.
Provides a comprehensive overview of machine learning with Python. It covers the different types of machine learning algorithms, the strengths and weaknesses of each type of algorithm, and the best practices for using machine learning in Python projects.
Provides a comprehensive overview of Python for data analysis. It covers the different types of data analysis tasks, the strengths and weaknesses of each type of task, and the best practices for using Python for data analysis projects.
Provides a comprehensive overview of artificial intelligence with Python. It covers the different types of AI algorithms, the strengths and weaknesses of each type of algorithm, and the best practices for using AI in Python projects.
Provides a comprehensive overview of natural language processing with Python. It covers the different types of NLP tasks, the strengths and weaknesses of each type of task, and the best practices for using NLP in Python projects.
Provides a comprehensive overview of deep learning with Python. It covers the different types of deep learning models, the strengths and weaknesses of each type of model, and the best practices for using deep learning in Python projects.

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