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Mastering Generative AI: LLM Architecture & Data Preparation

Name: Mastering Generative AI: LLM Architecture & Data Preparation
Price: 4168 INR

This course is part of Generative AI Engineering.

Course Cost

₹ 4,168

Intermediate

Skill Level

2 Weeks

Self-paced lessons

This intermediate-level course from IBM equips you with in-demand skills in generative AI architecture and data preparation that employers are actively seeking. With generative AI forecast to grow over 46% annually by 2030, this course positions you at the forefront of this rapidly expanding field. You'll explore real-world applications of generative AI and gain comprehensive insights into various architectures and models, including recurrent neural networks (RNNs), transformers, generative adversarial networks (GANs), variational autoencoders (VAEs), and diffusion models. The curriculum covers large language models like GPT, BERT, BART, and T5, giving you a solid understanding of advanced language processing techniques. You'll develop practical skills in tokenization processes using NLP libraries such as NLTK, spaCy, BertTokenizer, and XLNetTokenizer. Through hands-on labs, you'll implement tokenization, create NLP data loaders using PyTorch, and work with generative AI libraries in Hugging Face. This course provides both theoretical knowledge and practical implementation experience, culminating in an industry-recognized credential that enhances your resume with skills that today's employers need.

Joseph Santarcangelo

English

Joseph Santarcangelo

What you'll learn

Learn about real-world applications of generative AI and their significance in various industries

Understand different generative AI architectures including RNNs, transformers, GANs, VAEs, and diffusion models

Gain insights into large language models like GPT, BERT, BART, and T5 used in advanced language processing

Master the tokenization process using NLP libraries such as NLTK, spaCy, BertTokenizer, and XLNetTokenizer

Implement tokenization techniques to effectively preprocess raw textual data

Create and utilize NLP data loaders with PyTorch for tokenization, numericalization, and padding

Work with generative AI libraries in Hugging Face to build practical applications

Earn an industry-recognized credential that validates your generative AI skills

Skills you'll gain

Generative AI

Large Language Models

Transformers

NLP

Tokenization

PyTorch

Hugging Face

Data Preparation

Neural Networks

AI Engineering

This course includes:

PreRecorded video

Graded quizzes,2 labs,Practice quizzes

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Generative AI Engineering

Payment options

Financial Aid

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

4.9

18,630

Reviews

17,12,849

Students

Courses

Joseph Santarcangelo

Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.

Intermediate

Skill Level

2 Weeks

Self-paced lessons

Course Cost

₹ 4,168

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

How do AI specialists use skills in LLM architecture and data preparation in their work?

AI specialists use skills in LLM architecture and data preparation to design, train, and fine-tune language models that power applications like chatbots, virtual assistants, and automated content generation tools. These skills help them prepare and structure data effectively, ensuring that models are accurate, relevant, and efficient in understanding and generating human-like text for real-world applications.

Why do employers value skills in LLM architecture and data preparation?

Employers increasingly value skills in LLM architecture and data preparation because these are foundational for creating and optimizing AI applications that automate and personalize interactions, analyze vast amounts of data, and enhance customer engagement. These capabilities are essential for businesses aiming to remain competitive in fields like customer service, content generation, and personalized marketing.

What are some of the reasons employers specifically look for LLM and data preparation expertise?

Employers look for LLM and data preparation expertise to stay at the forefront of AI-driven innovation, optimize operational efficiency, and harness the power of predictive insights. Skilled professionals in these areas can build scalable, responsive models that allow companies to deliver more relevant customer experiences, streamline content creation, and extract actionable insights from large datasets—key advantages in today's data-driven economy.