IBM AI Engineering Professional Certificate
Master AI engineering with deep learning, neural networks, and machine learning using Python. Build job-ready skills in 4 months.
Master AI engineering with deep learning, neural networks, and machine learning using Python. Build job-ready skills in 4 months.
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 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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What you'll learn
Master machine learning algorithms and deep learning frameworks
Build and deploy neural networks using Keras, PyTorch, and TensorFlow
Develop generative AI applications with LLMs and RAG
Implement computer vision and NLP solutions
Create AI models for real-world business problems
Design and optimize deep learning architectures
Skills you'll gain
This course includes:
160 Hours PreRecorded video
Multiple assignments and hands-on labs across 13 courses
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 13 courses in this program
Machine Learning with Python
Course 1 · 13 Hours to complete · 6 modules
Introduction to Deep Learning & Neural Networks with Keras
Course 2 · 8 Hours to complete · 5 modules
Building Deep Learning Models with TensorFlow
Course 3 · 7 Hours to complete · 7 modules
Deep Neural Networks with PyTorch
Course 4 · 31 Hours to complete · 6 modules
Deep Learning with PyTorch
Course 5 · 19 Hours to complete · 6 modules
AI Capstone Project with Deep Learning
Course 6 · 16 Hours to complete · 4 modules
Generative AI and LLMs: Architecture and Data Preparation
Course 7 · 5 Hours to complete · 2 modules
Gen AI Foundational Models for NLP & Language Understanding
Course 8 · 7 Hours to complete · 2 modules
Generative AI Language Modeling with Transformers
Course 9 · 8 Hours to complete · 2 modules
Generative AI Engineering and Fine-Tuning Transformers
Course 10 · 7 Hours to complete · 2 modules
Generative AI Advance Fine-Tuning for LLMs
Course 11 · 8 Hours to complete · 2 modules
Fundamentals of AI Agents Using RAG and LangChain
Course 12 · 6 Hours to complete · 2 modules
Project: Generative AI Applications with RAG and LangChain
Course 13 · 9 Hours to complete · 3 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked questions
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