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IBM Deep Learning Professional Certificate

Premium
IntermediateProfessional Certificate

Language

  • English

Topic

  • Deep Learning, Machine Learning

Skills You Will Learn

  • Algorithms, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Keras, Python, Convolutional Neural Networks, Natural Language Processing, Tensorflow, Unsupervised Learning, Gradient Descent, Loss Functions, Machine Learning, Multiple Linear Regression, PyTorch, Autoencoders, Dimensionality Reduction, Applied Machine Learning, Train And Optimize Models

Offered By

  • IBM

Platform

  • SkillsNetwork

Last Update

  • February 8, 2026
About this Professional Certificate
Prepare for a career as a Deep Learning Engineer. Gain the in-demand skills and hands-on experience to get job-ready in less than 3 months.

In this professional certificate, you will: 

  • Define the key concepts of deep learning, including supervised learning, unsupervised learning, reinforcement learning, and neural network architectures such as CNNs and transformers.
  • Describe the applications and workings of popular deep learning libraries like PyTorch, Keras, and TensorFlow.
  • Apply deep learning frameworks and models to real-world problems, including image recognition, natural language processing, and time series prediction.
  • Analyze and evaluate the performance of different deep learning models, comparing models trained with various libraries.
  • Create custom models and layers using Keras, and integrate Keras with TensorFlow 2.X for advanced tasks.
  • Evaluate the results of deep learning projects, focusing on the interpretation of model performance and the optimization of neural network architectures.
  • Combine knowledge from multiple domains (machine learning, deep learning, neural networks) to construct end-to-end solutions and deploy them effectively.
 
Program Overview 

The global deep learning market is set to grow 23% annually to 2030 (Grand View Research). The IBM Deep Learning Professional Certificate builds the job-ready skills and practical experience needed to thrive in the rapidly advancing AI field.
 
Deep learning, a core subset of machine learning, drives the generative AI revolution. This certificate program will equip you with the skills to build, train, and deploy deep learning models. Through hands-on projects, you’ll learn how to use deep neural networks to simulate human-like decision-making abilities, gaining a strong foundation in Python and key machine learning frameworks.
 
You’ll learn to develop models using PyTorch, Keras, and TensorFlow, applying them to real-world challenges in areas like image recognition, natural language processing (NLP), and time series prediction. The program covers supervised learning, reinforcement learning, transformer models, and unsupervised learning methods.
 
Along the way, you’ll build custom layers and models, create advanced convolutional neural networks (CNNs), and integrate Keras with TensorFlow 2.x. You’ll gain hands-on experience through practical labs and projects, where you’ll tackle real-world AI problems and create robust models that employers demand.
 
By the end of the program, you will be well-equipped with industry-standard tools and techniques, having completed multiple projects, including a comprehensive capstone project, to showcase your deep learning expertise. Whether you’re looking to advance your current AI or data science career or start fresh, this Professional Certificate will provide you with the skills, knowledge, and practical experience to succeed in the growing deep learning job market.
 
This program is for anyone interested in mastering Deep Learning.  This program is ideal for professionals already in related roles, such as data scientists, software engineers, machine learning engineers, data engineers, and Python developers, who want to transition to a rewarding AI engineering career.

Prerequisites

The following skills are required to be successful in this program: 

  • High School level Mathematics
  • Working knowledge of Python
  • Machine Learning with Python

Courses and Projects in this Professional Certificate

Fundamentals of Deep Learning using Keras
Premium
CourseIntermediate
Fundamentals of Deep Learning using Keras

Master the fundamentals of deep learning with IBM! This course covers neural networks, supervised & unsupervised models, and how to build, train, and test deep learning models using Keras. Gain hands-on skills to kickstart your AI career.

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Keras and Tensorflow for Deep Learning
Premium
CourseIntermediate
Keras and Tensorflow for Deep Learning

Enhance your deep learning skills with Keras and Tensorflow! Learn advanced CNN techniques, build transformers and GANs, dive into reinforcement learning, and optimize models. Apply your knowledge with hands-on labs and a final project using transfer learning.

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PyTorch Fundamentals for Machine Learning
CourseIntermediate
PyTorch Fundamentals for Machine Learning

Learn the fundamentals of PyTorch for machine learning in this course. Topics include tensors, linear regression, logistic regression, and optimization techniques like gradient descent. Apply your skills through hands-on projects and quizzes.

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PyTorch for Deep Learning
Premium
CourseIntermediate
PyTorch for Deep Learning

Learn key concepts in deep learning, from logistic and softmax regression to shallow & deep neural networks. Implement these models in PyTorch, mastering techniques like backpropagation, dropout, and convolutional networks for machine learning tasks.

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Deep Learning Capstone Project
Premium
CourseAdvanced
Deep Learning Capstone Project

Get hands-on designing, training, and evaluating AI models using Keras and PyTorch. Complete a portfolio-worthy project that catches the eye of employers.

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