IBM Data Analytics with Excel and R Professional Certificate

Interpreting ML datasets

This 2-hour project-based course will instruct you on the interpretation of the dataset for machine learning, the impact of various features on a mode, and the evaluation of these features.

AI Gorvernance - Introduction

While developing governance, monitoring, and efficient real-time deployment methodologies, the course highlights the significance of matching AI models with business objectives.

Data and AI Fundamentals

The course introduces fundamental AI technologies and applications, while also directing learners toward open-source resources and career opportunities.

Build Chat Applications with OpenAI and LangChain

Learners gain essential AI engineering abilities from the course, such as prompt engineering, LangChain integration, and RAG approach application.

Advanced ML & Signal Processing

Gain foundational knowledge of Linear Algebra and Machine Learning models, explore the scalability of SparkML and Scikit-Learn, and gain practical experience by adjusting models and analyzing vibration sensor data in a real-world IoT example.