Understanding AI / Machine Learning Overview (TTML5500) Certification Training

This Understanding AI / Machine Learning Overview (TTML5500) Certification Training is designed meticulously to give learners a clear overview of artificial intelligence and machine learning. This instructor-led course will teach you about the fundamental concepts and features that drive AI and ML while learning how the two can be applied across different fields. These include supervised and unsupervised machine learning, cleaning up data, selecting features for making machine learning models, and offering the learners a robust grounding in organizing data for machine learning.  

During the training, professionals will get a chance to learn basic machine learning algorithms, such as linear regression, decision trees, clustering, and classification. The course also includes information about the quality of the data and the preprocessing steps, including normalization and feature engineering, which are essential for building good models. Moreover, you cover widely-used machine learning frameworks and tools, including Python, TensorFlow, and scikit-learn, and get the opportunity to practice with tools widely used in the industry.  

One of the significant strengths of the course is the focus on the practical use of AI and ML and using examples from different sectors. These case studies assist learners in answering questions on how AI & ML work in real-world practices to solve business problems and foster innovation across industries. By the end of the course, the learners will understand what artificial intelligence and machine learning are and how they can use these technologies in their professional endeavors.