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Generative AI for Software Developers
Generative AI for Software Developers
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Live Online Classes starting on 28th Sep 2024
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Instructor-led Generative AI for Software Developers live online Training Schedule
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Price 16,99914,449
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Why enroll for Generative AI for Software Developers Course?
Generative AI for Developers Learning Path Certification Training Benefits
According to a recent report by Bloomberg, the market for generative AI is expected to reach $1.3 trillion by 2032. Meanwhile, the World Economic Forum's "The Future of Jobs Report 2020" projects that AI advancements will result in the displacement of 85 million jobs worldwide by 2025. Generative AI tools like ChatGPT and GitHub Copilot play a pivotal role in enhancing user experiences and task optimization across diverse applications. Enroll now to obtain this prestigious certification and elevate your career to greater heights.
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Why Generative AI for Software Developers Course from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
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About your Generative AI for Software Developers Course
Generative AI for Developers Learning Path Course Skills Covered
Tools Covered
Generative AI for Software Engineer Course Curriculum
Curriculum Designed by Experts
Introduction and Applications of Generative AI
11 Topics
Topics
- Introduction to Generative AI
- What is Generative AI?
- Generative vs Discriminative Models
- Popular Generative AI Tools
- Generative AI Principles
- Types of Generative Models
- Machine Learning Algorithms with GenAI
- Applications of Generative AI
- Capabilities of Generative AI
- Commonly used tools for text, image, code, audio, & video
- Ethical Considerations
![skill]( "Hands On Experience")
- Implementing Generative AI Use Cases
![skill]( "skill you will learn")
- Generative AI Fundamentals
- Generative AI for Problem Solving
- Ethical Insights into Generative AI
Prompt Engineering: Techniques and Approaches
9 Topics
Topics
- Prompt Engineering Principles
- What is Prompt Engineering?
- Concept and relevance of prompt engineering in generative AI models
- Explore commonly used tools for prompt engineering
- Prompt Design Strategies
- Types of Prompting
- Approaches for writing effective prompts
- Best practices for creating impactful prompts
- Parameter Tuning
![skill]( "Hands On Experience")
- Designing Precise Prompts
- Experimenting with Various Prompt Design Strategies
- Advanced Parameter Tuning for Prompt Engineering
![skill]( "skill you will learn")
- Prompt Engineering Principles
- Crafting Effective Prompts
- Advanced Parameter Tuning for Prompts
Unveiling Generative AI for Software Development
10 Topics
Topics
- Set up a development environment for AI and ChatGPT
- ChatGPT for Creating Programs
- Useful AI prompts for software development
- ChatGPT for Debugging
- ChatGPT for Integrating New Features
- Code generation, bug detection, and troubleshooting with AI
- ChatGPT for Testing
- Documenting Your Code with ChatGPT
- Essential Application Programming Interface (API) Concepts
- Introducing OpenAI and ChatGPT API
![skill]( "Hands On Experience")
- Leveraging ChatGPT for debugging, and integrating new features
- Experiment with ChatGPT for testing purposes and generating test cases
- Practice documenting code and API concepts with ChatGPT
![skill]( "skill you will learn")
- Programming with ChatGPT
- ChatGPT for Code debugging and Documentation
- Software Testing using ChatGPT
GitHub Copilot for Software Developers
9 Topics
Topics
- Integration of AI into software development workflows
- Automatically Generating Function Descriptions
- Code Comments Generation
- Assisting Developers During Debugging
- Code Optimization and Refactoring
- Automatically Generating Unit Tests
- Software Testing Enriched by ChatGPT
- Useful prompts for software testing and DevOps
- Streamlining Documentation and Reporting Processes with AI
![skill]( "Hands On Experience")
- Car Rental Website using Python and Streamlit
![skill]( "skill you will learn")
- Programming with GitHub Copilot
- GiHub Copilot for Code debugging and Documentation
- Software Testing using GitHub Copilot
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About the Generative AI for Software Development Course
About Generative AI for Developers Learning Path Course
The "Generative AI for Developers Learning Path" course provides a detailed exploration of Generative AI tools and its practical applications in software development. Learners become adept at applying cutting-edge AI methods to improve a range of software development lifecycle components. Learners gain the ability to use Generative AI tools, like ChatGPT and GitHub Copilot, for tasks like program creation, debugging, testing, and documentation through a series of modules. With a focus on experiential learning, the course equips learners with practical skills in software testing enhanced by Generative AI, prompt engineering, and code optimization. By the end of the course, learners will have the know-how to efficiently use Generative AI, optimize development procedures, and stimulate innovation in software development methodologies.
What are the learning outcomes of this Generative AI for Developers Learning Path Course?
Upon completing the Generative AI for Developers Learning Path Course, participants will attain the following learning outcomes:
- Gain a solid understanding of Generative AI principles, models, tools, and applications, along with ethical considerations.
- Develop skills in prompt design strategies, parameter tuning, and crafting effective prompts for various software development tasks.
- Leverage ChatGPT for creating programs, debugging, testing, code documentation, and other development tasks, enhancing productivity and efficiency.
- Explore GitHub Copilot for automating tasks such as generating function descriptions, code comments, and streamlining documentation processes, thereby improving code quality and developer productivity.
- Gain hands-on experience in prompt engineering, using ChatGPT and GitHub Copilot for software development tasks, and enhancing software testing processes.
- Develop advanced skills in prompt engineering, code optimization, and software testing enriched by Generative AI.
Why take up this Generative AI for Developers Learning Path Course?
Enrolling in the "Generative AI for Developers Learning Path" course offers a transformative opportunity for developers to stay ahead in the dynamic tech industry. Learners can increase productivity, improve the quality of their code, and expedite development processes by learning Generative AI techniques. By gaining practical experience with tools such as ChatGPT and GitHub Copilot, developers can enhance their skill set, automate repetitive tasks, and stimulate innovation in software development.
Who should take up this Generative AI for Java Developers online training Course?
This course is suitable for a wide range of individuals, including:
- AI professionals
- Software Developers
- Full Stack Developers
- Python and Java Developer
- Data Scientists
- Anyone interested in AI
What are the prerequisites for this Generative AI in Software Development Training Course?
There are no prerequisites required for this Prompt Engineering with Generative AI course. However, it is beneficial to have:
- Basic Programming Knowledge
- Problem-Solving Skills
What are the system requirements for this Generative AI for Mobile Developers Course?
The system requirements for a Generative AI for Java Developers Learning Path course include:
- A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor to run NLP and machine learning models is required.
- A stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
How will I execute the practicals in this Generative AI for Developers Learning Path Course?
Practicals for this course will be implemented using Python, VS Code, and Jupyter Notebook. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
What is the cost of this Gen AI for Software engineer course?
The cost of this Generative AI for Java developers is INR 14,449/-. Use our no-cost EMI option and get started for just ₹4817/month, With no extra amount. Invest in your future now, and pay later!
What is included in this Generative AI for Developers Learning Path certification course?
Generative AI for software programmers course and includes 15 hours of training, live sessions, lifetime access, 24/7 support and you will learn the skills of Leveraging Generative AI, AI-assisted Coding, etc. And get industry-relevant projects, Quizzes & Assignments.
What is the duration of this Generative AI for front end developers?
Duration of this generative ai for full stack developers training is 15 hours.
How do I enroll in the Generative AI for back end developers training course?
There are simple steps to enroll in this Generative AI for front end developers certification course:
- Check the Course Details
- Create an Account
- Click Enroll now
- Select your Batch and Timing
- Complete your Payment
- Get a confirmation mail
- Start learning
Can I access the course materials after Generative AI for Software engineer certification course?
Edureka provides lifetime access to the course content. You can come back any time if you want to brush up your knowledge.
Can I enroll in the Generative AI for Software engineer course after it has started?
If you missed out on joining our current batch, then you can connect with our experts to get you enrolled in the next batch.
How do I provide feedback on the Generative AI in Software Development Training Course?
We take each feedback seriously. So after completing every class, our Edureka support team will contact you for your valuable feedback on the course.
Are you providing corporate training for this Generative AI for Software Developers course?
Yes, we are providing corporate training for this Generative AI for Developers Learning Path.
Generative AI for Software Developers Course Projects
Automated Code Review System
The problem with manual code reviews is that they are time-consuming, prone to human error, and can cause bottlenecks in the development process. Developers often spend a signifi....Intelligent Code Completion
Writing code efficiently and accurately requires a deep understanding of programming languages, libraries, and frameworks. However, even experienced developers may face challenge....Generative AI for Front End developers Certification Course
To unlock Edureka’s Generative AI for Java developers course completion certificate, you must ensure the following:
- Completely participate in this Generative AI in Software Development Training Course.
- Evaluation and completion of the quizzes and projects listed.
The Generative AI for Developers Learning Path course enhances the value of your credentials by confirming your expertise in this fast-developing area. By honing their advanced skills in prompt engineering, using ChatGPT, and mastering GitHub Copilot, developers can stand out in the ever-changing job market. This certification not only enhances career prospects but also boosts productivity by streamlining workflows and automating tasks.
After completing the Generative AI for Software Developers Learning Path Certification, you will qualify for various job opportunities in the artificial intelligence field. These positions encompass roles such as:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- AI Developer
- Software Engineer
- Website Developer
- Software Testers
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Generative AI for Full stack developers Course FAQs
What is Generative AI?
Generative AI is a branch of artificial intelligence that focuses on producing or creating fresh content, such as images, text, audio, or even videos, that closely resembles data generated by humans. In contrast to conventional AI models that learn to identify patterns or make decisions based on existing data (discriminative models), generative AI models are trained to produce new data that mirrors the original training data. These models have a wide range of applications, including generating images, and text, synthesizing data, and even engaging in creative tasks like art and music generation.
Will I learn how to generate code using Generative AI in this course?
Yes, the course covers techniques for generating code using ChatGPT and GitHub Copilot. Learners will learn how to utilize these models to automate code generation tasks, create code snippets, and even assist in debugging and optimization.
Will I get placement assistance after completing this Generative AI for Developers Learning Path Course?
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
Who are the instructors for the Generative AI for Java Developers Training Course?
All the instructors at edureka are practitioners from the Industry with a minimum of 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.
What if I have more queries after completion of the Generative AI for Software Developers Learning Path Course?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co.
What if I miss a class of Generative AI for Developers Learning Path certification course?
You will never miss a lecture at Edureka! You can choose either of the two options:
- View the recorded session of the class available in your LMS.
- You can attend the missed session, in any other live batch.
How does Generative AI impact the software development process?
Generative AI plays a significant role in the software development process by automating tasks such as code generation, code completion, testing, and debugging. Gen AI improves the efficiency and quality of code.
What is the significance of ethical considerations in AI-driven software development?
Ensure fairness, prevent bias, protect privacy, and secure data are four major AI ethics in software development.
What industries can benefit from Generative AI Training in Software Development?
Major industries like healthcare, finance, retail, manufacturing, education, entertainment, telecommunications, etc., will benefit from using Generative AI in software development.
How does Generative AI for Software Development will differ from traditional AI?
Traditional AI is old and designed to perform tasks like rephrasing and generating new content. Generative AI is an advanced AI system that helps by doing human activities like creating coding, generating automated images, etc. Traditional AI is analytical and predictive. Gen AI is Creative and more generative.
Can this Generative AI Software Development course improve the team collaboration?
Yes, absolutely; Gen AI in software development training course will help you learn new advanced AI systems, tools, etc. Sharing your new Gen AI skills with your colleagues helps to improve team collaboration with a positive attitude.
Will generative AI replace software developers?
Gen AI will not replace software engineers. It helps developers simplify their work by generating automated code, finishing incomplete code, testing in code, debugging, etc.
What are the Gen AI tools available for software developers?
GitHub Copilot, Tabnine, Kite, Codex are some most used Gen AI tools.
What are the other Courses on Artificial Intelligence provided by Edureka?
Here is the list of courses offered by Edureka:
How can I stay updated on the latest developments and research in the field of Generative AI in Software Development?
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