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Turbocharge Your Code Generative AI Boot Camp For Developers (TTAI2305) Course
Turbocharge Your Code Generative AI Bootcamp
This 3-day instructor-led online Turbocharge Your Code Generative AI Bootcamp Course in India equips you to learn how to leverage Generative AI in software development. During this practical training, you will learn about topics such as AI model creation and deployment, AI code generation tools i
Turbocharge Your Code Generative AI Boot Camp For Developers (TTAI2305
Interactive Live Sessions with Experts
Instructor-Led Online Training
Unlimited Post-Program Material Access
Comprehensive Certification Preparation Resources
Personalized Learning Support
Industry-Relevant Course Content
Certification Upon Successful Completion
Course Overview
This Generative AI Boot Camp For Developers Course is designed meticulously for developers to learn how to incorporate Generative AI in the coding process. It aims to use artificial intelligence technologies to improve software development practices. You will start with the basic knowledge of Generative AI and then proceed to understanding machine learning, deep learning, and natural language processing. The course explains strong AI models such as GPT-3 and equips you with the standards to produce high-quality code automatically.
Throughout the training, you can code in languages like Python and use frameworks like TensorFlow while mastering how to use Generative AI tools to help automate coding processes and enhance coding productivity. The course explores use cases of AI in software development, including code generation, bug detection, and enhancement of code quality. You will also learn about the ways of integrating AI into existing software environments and the strategies for deploying AI-based solutions at scale.
By the end of the course, you will be ready to apply Generative AI models in different development processes, dealing with automation, and increasing coding effectiveness. You will also be prepared for the certification exam, which checks your practical understanding of how Generative AI tools are used in development settings.
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Course Objectives
- Learn about Generative AI and its use in software development.
- Discover how to use GPT-3 for coding and automate coding work.
- Get practice using Python and other AI libraries, including TensorFlow.
- Research the types of machine learning and deep learning that apply to Generative AI.
- Learn about the role of NLP in the AI-based code generation process.
- Find out how to incorporate AI models into a Software Development Life Cycle and processes.
- Discover how AI can help advise on the best approach to improve code quality and decrease code time.
- Use programs generated from a machine code environment that can detect bugs or suggest improvements to the code.
- Know how to train and fine-tune generative models according to the development requirement.
- Learn about the different problems that may arise when using AI in software development and the pros and cons of using AI.
Target Audience
- Software developers
- AI developers
- Python developers
- Machine learning engineers
- Data scientists
- IT professionals
- Tech leads managing AI-driven projects
- Solution architects
Eligibility Criteria
- Familiarity with programming concepts (Python is preferred).
- Awareness of the software development and coding standards.
- Knowledge of the ideas of machine learning and deep learning.
- Understanding of data structures and algorithms.
- Familiarity with API and other software systems.
- General understanding of SaaS, PaaS, IaaS, and cloud computing concepts.
- Knowledge about particular clouds such as AWS & Azure and AI concepts.
- Familiarity with version control systems such as the GIT.
Course Outline
Section 1: Generative AI Overview
- Introduction and general information about Generative AI and its uses
- Machine learning and deep learning
- Significant AI models and technologies include GPT-3 and BERT, as well as others
- An Overview of Natural Language Processing (NLP)
Section 2: Generative AI Programming
- Critical coding environments for Artificial Intelligence like TensorFlow, PyTorch
- Using AI tools such as GPT-3
- An Introduction to Python for AI Development
- Knowledge of code generation and its advantages
Section 3: AI Models Construction and Deployment
- Approaches towards higher accuracy of the model
- Superseding and enhancing the AI templates for code production
- The use of AI solutions in practical projects
- Deploying AI models into development contexts
Section 4: AI and the Automation of Software Development
- Code generation for various languages
- Applying Generative AI to conventional coding methods
- AI in the detection of bugs and checking on code quality
- Automatic documentation and comment creation
Section 5: AI for Developers: Advanced Topics
- Handling faults in AI models
- Ethical implications of using Artificial Intelligence in development
- How Generative AI can be used in different fields
- Situations where AI solutions are applied on a large scale to large projects
- Real-life coding examples for exam preparation
- Strategies to help you pass the certification exam
- Regular tests and case study analysis
About the Certification
This is one of the best Generative AI Courses that enhance your proficiency in applying Generative AI technologies to coding. This certification demonstrates your ability to introduce and deploy AI tools like GPT-3 into the coding field and enhance coding methods. Some of the topics that the training addresses include machine learning, artificial neural networks, natural language processing, and embedding AI models within development environments.
During the course, you will get hands-on experience with programming languages and AI frameworks like TensorFlow and apply AI in coding tasks such as code generation, bug detection, and code optimization. Study materials help you comprehensively prepare for the certification examination, thus increasing your confidence level.
This certification opens up many career opportunities, such as Artificial Intelligence Developer, Machine Learning Engineer, and Software Architect. It prepares you for career growth in fields where the utilization of AI is changing development processes.
Choose Your Preferred Mode
Online Training
- Instructor-led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured Training Material
- 24*7 leaner assistance and support
Corporate Training
- Customized Training Across Various Domains
- Instructor-Led Skill Development Program
- Ensure Maximum ROI for Corporates
- 24*7 Learner Assistance and Support
FAQ’s
What does the Turbocharge Your Code Generative AI Boot Camp for Developers Certification aim?
This certification aims to help developers optimize work by using Generative AI technologies, including GPT-3, in software development processes.
What is required before taking this course?
The candidate should at least have a basic understanding of programming languages such as Python and some basic idea about machine learning, AI, and deep learning.
What do I gain as a developer from this course?
It helps you equip yourself with the necessary tools to generate code autonomously while improving quality and efficiency in the development process by incorporating Generative AI models like GPT-3.
What should I do to pass the certification exam?
The course is a comprehensive exam preparation tool. It offers mock exams, practical case scenarios, and overviews of the most essential topics to guarantee that you pass the exam as effectively as possible.
What is the reason behind the emergence of AI Boot Camp in India?
As India is now moving at a very fast pace in adopting AI Technologies, AI Boot Camps like this are becoming popular as they allow developers to train themselves for the AI technologies that are in high demand for many Industries.
What will I learn during this boot camp?
Some of the main topics discussed in the boot camp include GPT-3 code generation, deep learning, machine learning, natural language processing, Python programming, and the use of artificial intelligence in software engineering.
What are the trends of the AI in software development?
With the development of AI, the software development process will be progressively automated. Generative AI and other similar tools will play an important role in helping businesses create new products, save time when coding, and improve the overall efficiency of different industries.
What are the primary duties of an Artificial Intelligence Developer?
An AI developer is a professional who creates AI algorithms and models, improves algorithms, and incorporates elements of machine learning, deep learning, etc., into practical application software.
What other certification can I get after completing this course?
After completing this certification, you can pursue other certifications in the field of AI, such as Microsoft Certified: Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, or TensorFlow Developer Certification.
What help does Vinsys provide me in this training?
Through instructor-based learning and expert instructors conducting practical sessions, Vinsys provides you with the tools and assistance you need to succeed in this course and the certification exam.
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