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Foundation for Generative AI course (FGAI)

This 5-day instructor-led online Foundation for Generative AI (FGAI) Certification Training in India equips you with the foundational knowledge and skills to leverage generative AI technologies. Explore some of the most essential concepts, including generative AI methods, prompt engineering, and

Duration Duration : 5 Days
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Course Overview

This Foundation for Generative AI (FGAI) Certification Course is designed meticulously to equip professionals with a good understanding of generative AI technologies. In this course, the basic concepts, the latest techniques, and the practical solutions are instructed to provide a strong knowledge base for AI learners and practitioners. Also, learners will be able to study generative AI methods and architectures, allowing them to gain insight into the fundamental frameworks behind most of the current AI solutions. The curriculum also covers prompt engineering, where learners will understand how to design prompts to deliver the best results from an AI.

Other essential aspects of this training are exploring generative AI's ethical and societal consequences. Outcomes of lessons such as AI bias, data privacy, and the effects of AI on the workforce prepare learners with the responsibility to view AI projects. During the sessions, the professionals will learn how to apply AI in different business areas, such as content generation, customer support, and business process improvement.

This course also focuses on preparing for the Generative AI Foundations Certification Exam, an international certification that tests your AI skills. Learners will take practice tests and use the exam materials to prepare for the certification based on fundamental procedures such as designing work processes, knowledge of ethical models, and AI usage in a professional context.

By the end of the course, you will understand the purpose and application of generative AI. You will be ready to apply AI solutions, solve issues, and incorporate AI on a legal basis in your spheres of expertise. This training prepares the learners for the AI-based professions and helps them get the desired certification.
 

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Course Objectives

  • Develop a high level of knowledge about generative AI concepts and approaches for creating AI-based solutions.
  • Learn about the two main advanced generative AI frameworks: transformers and diffusion models.
  • Learn how to master the most essential aspects of the engineering process to generate the best prompts for the AI.
  • Discover the practical uses of generative AI in sectors such as content generation, customer relations, and automation.
  • Find out how generative AI is ethical and societal, including privacy, bias, and data security.
  • Discover tools to assess and apply generative AI solutions in the place of work to get the most from them.
  • Explore various methods for optimizing the AI model, which can improve the efficiency and accuracy of the outputs.
  • Learn about risks associated with using generative AI and how to address them.
  • Establish a strong base in which generative AI is implemented in organizational systems to improve performance.
  • Participate in scenarios and use actual cases and workshops to enhance your theoretical knowledge simultaneously.
     

Audience

  • AI enthusiasts
  • IT specialists 
  • Data scientists
  • Business leaders 
  • Developers 
  • Content creators 
  • Researchers 
  • Beginners interested in AI technologies
  • Professionals preparing for AI certifications
     

Prerequisite

  • Basic knowledge of artificial intelligence, digital tools, AI technologies, and trends.
  • No prior coding experience is required.
  • Fundamental analytical and problem-solving skills. 
     

Course Outline

Module 1: DeepLearning

  • DeepLearning Basics & Artificial Neural Network Overview
  • Building the Vocabulary – Terms & Concepts
  • Training the Neural Networks
  • Key Types of Neural Networks – CNN, RNN, LSTM, GANs
  • Lab(s): Working with Neural Networks

Module 2: Deep Learning on Azure

  • Azure AI Framework
  • Various ways to develop AI Applications on Azure
  • Examples of each of the options
  • Getting started with Azure AI
  • Lab(s): Getting started with Azure OpenAI Studio

Module 3: Evolution of Natural Language Processing

  • Introduction to NLP
  • Rule-Based Approaches: Keyword matching and grammar rules
  • Statistical Methods: n-grams
  • Machine Learning for tasks like part-of-speech tagging, named entity recognition
  • Word embeddings: Word2Vec, GloVe for semantic relationships
  • Attention Mechanisms: Machine translation, text summarization, sentiment analysis
  • Transformers: Architecture, self-attention, pre-trained language models like BERT, GPT
  • Skip Connections and Layer Norm
  • Feed-forward Layer
  • Transformer hyperparameters and Why they work so well
  • BERT, T5 , GPT
  • Lab(s): NLP use cases with key approaches

About The Certification

The Generative AI Foundation Certification is a global credential designed to assure that you possess the skills and knowledge of generative AI technologies. This certification is for anyone who wants to expand their understanding of how AI works, the methods employed in it, and how it can be applied in practice. It sets the foundation for one of the most revolutionary areas of present-day technology.  

The certification training includes important areas like generative AI architectures, prompt engineering, and ethics. It gives working experience in how to apply AI tools properly and ethically across industries. Practical assignments and cases guarantee that you will be able to implement the knowledge obtained in the exercise.  

One of the most critical aspects of this certification is the strong examination preparation assistance. Learners can access study notes, quizzes, and live classes that prepare them for the Generative AI Foundations Certification Exam.  

This training can lead you to career growth in positions such as AI specialist, data scientist, and machine learning engineer. It improves your prospects of work opportunities in organizations that embrace the use of Artificial Intelligence and gives you tools to prepare for additional challenges in developing Artificial Intelligence in the future. This certification will also enable you to pursue further studies in the ever-expanding field of artificial intelligence.

About Examination:

Exam Component Details
Exam Name Generative AI Foundations Certification Exam
Exam Format Pearson VUE's online exam and at test centers
Exam Duration 90 min
Number of Questions 40
Question Type Multiple choice
Passing Score 65%
Exam Language English
Certification Validity Lifetime

 

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  • Experienced Subject Matter Experts
  • Access to PMI-authorized PMP course contents
  • Vinsys Training Material
  • 24*7 learner assistance and support
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  • Blended Learning Delivery Model (Self-Paced E-Learning And/Or Instructor-Led Options)
  • Course, Category, And All-Access Pricing
  • Enterprise-Class Learning Management System (LMS)
  • Enhanced Reporting For Individuals And Teams
  • 24x7 Teaching Assistance And Support
     
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FAQ’s

What is the FGAI Certification?

The FGAI Certification ensures your comprehension of generative AI, its approaches, applications, and relevant ethical issues and makes you an expert in AI.

What has been included in this certification training?

Some of the focus topics are generative AI architectures, prompt engineering, AI ethics, AI optimization, and practical applications of AI.

For which category of individuals is this certification course available?

The course is open to anyone with no prior knowledge of AI or someone who wants to advance their existing knowledge about AI technologies. Prior coding experience is not necessary before participating in the training.

What is the nature of the certification exam?

The exam is non-proctored, closed-book, web-based, or can be taken at a test center. It tests your knowledge of some of the fundamental concepts of generative AI.
 

Why generative AI is important for companies today?

Generative AI offers effectiveness in operations, improvements in customer interactions, content generation, and solutions to many problems. Thus, many IT organizations adopt this technology. 

Is there an opportunity for a complimentary retake of this certification?

Yes, candidates are allowed to take a retake in case they do not pass the exam, making their certification process more effective.

What does an AI specialist do?

AI specialists create, implement, and maintain AI solutions, solve ethical inquiries, and implement AI solutions suitable for the business.

What other certifications can one get after this one?

Some of the other certifications to pursue after FGAI are Machine Learning Engineer, AI Ethics Certification, or certification specific to certain AI tools.

Is this generative AI training consistent with the current trend of AI?

Yes, the course is specified to keep pace with the advancements occurring in generative artificial intelligence so that the learners will get an authorized skill set as per the industry's demand.

Does Vinsys assist in exam preparation for this course?

Yes, Vinsys provides mock tests, study materials, doubt-solving sessions, exercises, self-assessment knowledge assessments, and workshops to prepare the candidate for the certification examination.

Why Vinsys

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Seasoned Instructors
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Authorized Courseware
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3,000+ Courses & 2,000+ Modules
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
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Customizable Blended Learning Options
Customizable Blended Learning Options

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Reviews

I recently completed the Foundation for Generative AI (FGAI) Certification with Vinsys and I have to say, it was a great experience. The course was quite enlightening. It outlined everything starting from the basics of AI to the use of generative models such as GPT. The most enjoyable part was the practical sessions because it was not only the theory, but we got real tools we worked on. I can now say that I am ready to use generative AI in my professional activities. I would highly recommend it to anyone who is new to generative AI.
Joshua BailurIT specialist
I have been in the AI field for some time now but I needed a proper understanding of generative models. It was absolutely ideal to take this FGAI course from Vinsys. The course content was perfect, while covering all the theoretical aspects of generative AI, it also made the learner understand how to implement the concepts. Vinsys was very helpful throughout, especially the labs. I am much more comfortable in using generative AI in my own work now.
Brijesh Singh BaghelData Scientist
Vinsys made the learning journey so smooth! I found the content quite clear and the practical examples proved most useful in supporting the material I had been taught. The teacher was a specialist willing to make himself available for questions at all times. By the end of the course, I am well equipped to engage my peers in a conversation about generative AI applications.
Dhriti SanghiBusiness leader
For someone who wants to integrate AI into their business, I have benefited from Vinsys’ Foundation for Generative AI course. The course was designed correctly and it included all the important aspects of generative AI. I liked the activity-based approach, particularly the practical ones where the examples were real-life ones. The web based interface of the Vinsys platform was clear and understandable. Definitely a great investment for anyone who wants to leverage AI to drive innovation.
Anurag VermaContent Creator

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