IBM Generative AI Engineering Professional Certificate
Master generative AI engineering with IBM's comprehensive program covering LLMs, NLP, and practical applications.
Master generative AI engineering with IBM's comprehensive program covering LLMs, NLP, and practical applications.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Generative AI Engineering Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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বাংলা, ଓଡ଼ିଆ, اردو, 1 more
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What you'll learn
Design and develop generative AI applications using Python and modern frameworks
Implement and optimize large language models for various NLP tasks
Master prompt engineering techniques for effective AI interactions
Build and deploy AI agents using RAG and LangChain
Create practical applications with transformers and neural networks
Develop expertise in machine learning and deep learning fundamentals
Skills you'll gain
This course includes:
144 Hours PreRecorded video
5 assignments
Access on Mobile, Desktop, Tablet
FullTime access
Shareable 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.
There are 16 courses in this program
Introduction to Artificial Intelligence (AI)
Course 1 · 13 Hours to complete · 4 modules
Generative AI: Introduction and Applications
Course 2 · 6 Hours to complete · 3 modules
Generative AI: Prompt Engineering Basics
Course 3 · 7 Hours to complete · 3 modules
Python for Data Science, AI & Development
Course 4 · 25 Hours to complete · 5 modules
Developing AI Applications with Python and Flask
Course 5 · 11 Hours to complete · 3 modules
Building Generative AI-Powered Applications with Python
Course 6 · 13 Hours to complete · 7 modules
Data Analysis with Python
Course 7 · 15 Hours to complete · 6 modules
Machine Learning with Python
Course 8 · 13 Hours to complete · 6 modules
Introduction to Deep Learning & Neural Networks with Keras
Course 9 · 8 Hours to complete · 5 modules
Generative AI and LLMs: Architecture and Data Preparation
Course 10 · 5 Hours to complete · 2 modules
Gen AI Foundational Models for NLP & Language Understanding
Course 11 · 7 Hours to complete · 2 modules
Generative AI Language Modeling with Transformers
Course 12 · 8 Hours to complete · 2 modules
Generative AI Engineering and Fine-Tuning Transformers
Course 13 · 7 Hours to complete · 2 modules
Generative AI Advance Fine-Tuning for LLMs
Course 14 · 8 Hours to complete · 2 modules
Fundamentals of AI Agents Using RAG and LangChain
Course 15 · 6 Hours to complete · 2 modules
Project: Generative AI Applications with RAG and LangChain
Course 16 · 9 Hours to complete · 3 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked questions
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