IBM
4 months at 10 hours per week
Get job-ready as an AI engineer. Build the AI engineering skills and practical experience you need to catch the eye of an employer in less than 4 months.
A working knowledge of Python and Data Analysis and Visualization techniques. A minimum of high school math. And, fundamentals of Generative AI.
This Professional Certificate consists of 13 self-paced courses covering fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning techniques. You'll learn to build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, autoencoders, and generative AI models including large language models (LLMs). You'll apply popular libraries such as SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow to industry problems using object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. You'll also build Generative AI applications using LLMs and RAG with frameworks like Hugging Face and LangChain.
As a market-leading tech innovator, IBM is committed to helping you thrive in the dynamic AI landscape. Through the IBM Skills Network, this expertly designed training program provides the essential, job-ready skills you need to secure your first AI engineering role or advance your existing career. With hands-on labs, projects, and practical evaluations, you'll build a portfolio that showcases your expertise to potential employers.
This Professional Certificate will equip you with the in-demand skills and practical experience to excel as an AI engineer. You'll be able to build, train, and deploy deep learning models and neural networks for a variety of industry applications, from computer vision and natural language processing to generative AI and recommender systems. With a strong foundation in machine learning and deep learning, you'll be well-positioned to pursue roles such as AI Developer, Machine Learning Engineer, Data Scientist, and more.
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