RiseUpp Logo
Educator Logo

Generative AI Engineering with LLMs

Master essential Gen AI engineering skills including LLMs, transformers, and NLP applications. Build practical AI solutions with industry frameworks.

Master essential Gen AI engineering skills including LLMs, transformers, and NLP applications. Build practical AI solutions with industry frameworks.

This comprehensive specialization equips you with in-demand skills in Generative AI and Large Language Models. Through seven courses, you'll learn to build and deploy NLP applications using frameworks like LangChain, Hugging Face, and PyTorch. The program covers everything from fundamental architectures to advanced fine-tuning techniques and practical application development.

4.6

(142 ratings)

5,161 already enrolled

English

Powered by

Provider Logo
Generative AI Engineering with LLMs

This course includes

55 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

12,395

What you'll learn

  • Design and implement generative AI architectures using modern frameworks

  • Master tokenization and data preparation for language models

  • Develop and fine-tune transformer-based models

  • Implement attention mechanisms and positional encoding

  • Build practical NLP applications using RAG and LangChain

  • Create and deploy AI agents and question-answering systems

Skills you'll gain

Large Language Models
NLP
PyTorch
Transformers
RAG
LangChain
Fine-tuning
Prompt Engineering
Neural Networks
Machine Learning

This course includes:

48 Hours PreRecorded video

Hands-on labs and capstone project

Access on Mobile

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Created by

Provided by

Certificate

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.

icon-0icon-1icon-2icon-3icon-4

There are 7 courses in this program

Introduction to DevOps

Course 1 · 6 Hours to complete · 6 modules

Introduction to HTML, CSS, & JavaScript

Course 2 · 10 Hours to complete · 4 modules

Disaster, Crisis, and Emergency Preparedness Communication

Course 3 · 9 Hours to complete · 4 modules

Internal Communications Framework

Course 4 · 6 Hours to complete · 4 modules

Supply Chain Optimization

Course 5 · 8 Hours to complete · 4 modules

Analysis of Business Problems

Course 6 · 9 Hours to complete · 5 modules

Introduction to Software Engineering

Course 7 · 14 Hours to complete · 6 modules

Fee Structure

Payment options

Financial Aid

Generative AI Engineering with LLMs

This course includes

55 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

12,395

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

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.