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GoLogica Generative AI Master’s Program aims to provide learners with advanced information about artificial intelligence and such aspects of generative models as necessary. In this course, you will learn the real implementation of AI models for synthesizing images, content, music, etc. Offered by great practitioners as lecturers, this program provides real-world projects, one-to-one coaching.Next Batch Starts
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The Generative AI Master’s Program offered by GoLogica is a course designed to prepare learners for one of the most transformative technologies of this era, i.e., generative AI technology. In simpler terms, Generative AI is any system involving Artificial Intelligence with the ability to produce new content from derived references. Such models include OpenAI’s GPT-4, DALL·E, Google’s BERT, and LaMDA, and they are capable of producing highly rich outputs that are credible to human-generated creativity and reasoning.
The Generative AI Course Master’s program offers students the opportunity to acquire general competencies in a rapidly growing field: Artificial Intelligence with a focus on generative models. This program is suitable for anyone interested in the practical application of machine learning and deep learning to apply the concept of AI to creating new forms of content such as text, image, audio, or video.
This program content includes terminologies from Data Science, Machine Learning, and AI-related areas like ChatGPT, Prompt Engineering, and Generative AI. The program also covers fundamentals that include Deep Learning, Natural Language Processing (NLP), and Reinforcement learning. High-level tools and frameworks that are used in the development of AI systems will also be taught to the learners.
This program offers a clear understanding of the generative models based on machine learning and deep learning. The learners will learn theories and practical examples of creating and using generative models in sectors like entertainment, healthcare, marketing, and art. You will also work in the form of projects that show how generative AI is used. This program guarantees that the candidate has adequate knowledge to apply as well as execute Artificial Intelligence in practical applications and real-life case studies.
As AI technologies are gaining popularity in the healthcare, entertainment, finance, marketing, and software industries, there is a tremendous call for individuals who are capable of employing generative AI to reduce time consumption, think implausibly, develop new products, and generate unique user interfaces. The work based nature of this master’s program assures learners that they will be ready to harness the infinite opportunity of generative AI by applying the theory learned in practice.
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Python was mainly developed for emphasis on code readability, and its syntax allows programmer to express concepts in fewer lines of code.Python is considered a scripting, language like Ruby or Perl and is often used for creating Web applications and dynamic Web content.
GoLogica provides Data Science with Python Training This course has been designed with a focus on quality and simplicity making it ideal for Beginners or for those looking for a refresher on Data Science with Python. It gives an engaging learning experience covering everything you need to know about Data Science.
In this course, you will learn about the workings of OpenAI’s ChatGPT model, the model architecture, and the fine-tuning techniques. You will also discover in detail how to embed ChatGPT into various applications, control conversation flows, and fine-tune it for distinct tasks. Applied, you’ll learn about the operative utilization and development of AI chatbots as well as NLP, making ChatGPT your robust tool in AI capability.
The GoLogica Prompt Engineering Course is centered around effective prompts as a means to elicit the correct responses from AI models, together with ChatGPT. This course helps you learn when and how to write great prompts that obtain clear and relevant information. You will also learn how to better tune prompts to allow for an improved fit of the prompts to the task, thereby making ChatGPT and similar systems better suited for so many applications.
The Generative AI Industry Applications course is built for understanding how innovative forms of AI, like the GPT, are transforming industries such as technology, entertainment, and production. You will get to understand how you can incorporate AI in automating tasks, creating content, and improving decision-making. This course enables students to apply the concepts in the project and case-study scenarios where generative AI can be of immense value. Once you understand how AI impacts different industries, you can create AI solutions that apply to specific fields, address numerous challenges in these fields, and drive development around various
This will help you to better understand the Generative AI.
you will be able to grow your career by broadening your proficiency in Generative AI.
With this, the students will be able to decide their careers in the right way.
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GoLogica Generative AI Certification holds accreditation from major global companies worldwide. Upon completion of both theoretical and practical sessions, we offer certification to both freshers and corporate trainees. Our certification on Generative AI is recognized globally through GoLogica, significantly enhances the value of your resume, opening doors to prominent job positions within leading MNCs. Attainment of this certification is contingent upon the successful completion of our training program and practical projects.
The U.S. Bureau of Labor Statistics (BLS) forecasts a 25% increase in employment for Generative AI from 2021 to 2031, significantly outpacing the average for all occupations. Additionally, Generative AI Ventures predicts 3.5 million unfilled cybersecurity jobs worldwide by 2025.
According to the BLS, Generative AI professionals are well-compensated. The median annual wage for Generative AI was $120,000 and $180,000 PA It’s depending on factors such as experience, location, and specific job responsibilities.
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