Machine Learning

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10 Terms

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IBM Professional Certificate Overview

This course is part of both the IBM AI Engineering PC and the IBM Data Science PC.

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Data Science PC Focus

Skills for data science careers, covering data cleaning, analysis, and predictive modeling.

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AI Engineering PC Focus

Prepares learners for AI engineering, including building, training, and deploying models.

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Tools Used in Data Science

Python, SQL, Pandas, and NumPy.

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Tools Used in AI Engineering

Python, SciPy, Keras, PyTorch, and TensorFlow.

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Beginner Suitability

The IBM Data Science PC is suited for beginners and has no prerequisites.

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Key Topics in AI Engineering

Introduction to AI, Deep Learning, ML and Deep Learning Frameworks, Neural Networks.

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Generative AI Models

Includes RNNs, transformers, GANs, VAEs, and diffusion models.

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Capstone Project

Apply deep learning expertise to a real-world problem and showcase your model's effectiveness.

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Fine-Tuning Techniques

Parameter-Efficient Fine-Tuning (PEFT), Low-Rank Adaptation (LORA), and Prompting.