Generative AI has transformed the technology environment and opened up revolutionary use cases, including generating code, producing creative content, and speeding up customer support. And the uses of this technology are expanding every day. Businesses that successfully use this revolutionary technology will stand out from the competition and emerge as leaders in the future. Participants in the Foundation for Generative AI (FGAI) course will take a broad introduction to Azure AI, Deep Learning, and the Development of Natural Language Processing (NLP). You'll learn how generative AI is upending and changing many sectors and how to set yourself up for success when implementing it within your company. This will assist you in creating more effective plans to use generative AI to transform your business. By the end of this session, you will better understand the significance of upgrading your skills with current generative AI tools to complete more work more quickly and with more outstanding quality. You will also be aware of potential hazards and the larger picture of artificial intelligence's past, present, and future.Using various instructional techniques, Vinsys delivers the Foundation for Generative AI (FGAI) course. Through interactive lab exercises and instructor-led lectures, learners gain experience implementing Generative AI models. Collaborative problem-solving activities and group discussions enable participants to understand the ethical aspects of GAI, such as deep fakes and other related concerns. While obtaining a solid theoretical foundation from the trainers through lectures, learners can explore real-world scenarios and hone their critical thinking and problem-solving abilities by engaging in group conversations. Online courses and self-paced learning materials are available to support various learning methods. Regular exams and assessments aid learning and allow learners to monitor their progress. Our instructor-led online training ensures direct monitoring, and you can choose training sessions that work with your schedule. Come along on this thrilling journey with us as we establish the groundwork for a time when machines will not only obey commands but also be able to create, inspire, and change.
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Upon the completion of the Foundation for Generative AI (FGAI) program, learners will be able to:
• Learn about the many potential uses and applications of generative AI firsthand. Some examples include creating 3D objects, interactive images, and text.
• Explore how to use models of generative AI. We concentrate on appropriate coding and proper concept implementation. (absence of an administrative code)
• Find out about the ethical aspects of GAI, including deepfakes and other issues.
• Ability to recognize concepts in the field of Generative AI and optimize the utilization of pre-existing models to bring business ideas and initiatives to life.
• Understand how to add to your dataset to enhance machine learning performance, such as for uncommon illness classifiers.
• Examine the development of generative models, their progression, and the potential future applications of this technology.
• Learn how to create synthetic data to train machine learning models, which will be helpful when gathering accurate data is difficult.
• Write efficient prompts and get desired results from AI models by utilizing robust prompt engineering techniques.
• Describe the real-world applications of generative AI and its capabilities.
• Determine the many industries and sectors in which generative AI finds applicability.
• Examine prominent generative AI models and resources for creating text, code, images, audio, and videos.
The Foundation for Generative AI (FGAI) course is intended for learners interested in learning about generative models in depth, what has been developed thus far, and what potential applications for this technology. In essence, the following is a list of the intended audience:
• Programmers and Developers
• Data Analysts
• AI Enthusiasts and Learners
• Even machine learning and data science professionals who want to improve their abilities when using OpenAI models
• Professionals in the Creative Studies
• Entrepreneurs and Innovators
• 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
• 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
• 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
What is the duration for the Foundation for Generative AI (FGAI)?
The Foundation for Generative AI (FGAI) will make you proficient in Generative AI within a day.
Why is the course on generative AI essential?
The Foundation for Generative AI (FGAI) course offers a thorough foundation and practical experience across crucial aspects, including project management, marketing, and customer journey, and the ethical and responsible use of this revolutionary technology, whether you're an experienced AI practitioner looking to deepen your knowledge or a newbie to this dynamic field.
What Instructional Materials and Resources are used to deliver the Foundation for Generative AI (FGAI) course?
The participants will have access to the following throughout the course delivery.
• Training videos and tutorials
• Online articles and blogs
• Textbooks and reference books
• Practice exams and quizzes
• Sample scripts and code snippets
Can someone take the Foundation for Generative AI (FGAI) course without prior programming or IT experience?
The Foundation for Generative AI (FGAI) demands learners to understand the fundamentals of programming in-depth, as well as the concepts of Azure Cloud and data, Google Colaboratory, and Jupyter Lab notebooks.
What is the next step in my career after completing the Foundation for Generative AI (FGAI) course?
Completing the Foundation for Generative AI (FGAI) course can lead to many fascinating job opportunities in the quickly developing fields of machine learning and artificial intelligence. You can search for opportunities in AI as a product manager, machine learning engineer, data scientist, researcher, software developer, or creative technologist.
Does Vinsys follow the most recent version of the Foundation for Generative AI (FGAI) course?
Vinsys' trainers have the most recent skills and expertise in their field. Training programs have been developed per the revised Foundation for Generative AI (FGAI) course curriculum.
What is the benefit of enrolling in Vinsys' Foundation for Generative AI (FGAI) program?
Vinsys' exceptional support system and approved training programs make it a great place to receive training. In addition to tools that support them in optimizing value for their clients, excellent support is always accessible. Professionals at Vinsys are skilled in assessing the value of technology and integrating it into the overarching training plan. Vinsys keeps an all-encompassing perspective while paying close attention to specifics to ensure that the approach satisfies and surpasses criteria.
I had an excellent training experience with Vinsys' Foundation for Generative AI (FGAI) program. The practical experience exposed me to the real world, and the instructors did a fantastic job presenting the course knowledge.
My team members are now more proficient in using generative AI after completing the Vinsys Foundation for Generative AI (FGAI) program. This training provided my staff with invaluable insights that ultimately contributed to the success of my business. I would want to thank the trainers sincerely for their assistance.