IBM AI Engineering

AI is expected to grow 36.6% by 2030 (Forbes). This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer. During this program, 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 master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning , using Python. 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. Build Generative AI applications using LLMs and RAG with frameworks like Hugging Face and LangChain . You’ll work on labs and projects that will give you practical working knowledge of deep learning frameworks. If you’re looking to build job-ready skills and practical experience employers are looking for, ENROLL TODAY and build a resume and portfolio that stand out!

• Describe machine learning and neural networks concepts
• Implement supervised and unsupervised models
• Deploy ML algorithms on Apache Spark
• Build deep learning models with Keras, PyTorch, TensorFlow

• Basic familiarity with topic and terminology
• Willingness to practice applied exercises