Understanding AL / Machine Learning Overview (TTML5500) Certification Training

Understanding AI/ML Overview Course

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Understanding AI / Artificial Intelligence & Machine Learning / Overview (TTML5500) is a 1-day course exploring AI and ML fundamentals, including how they are used in processing language, images, audio, and

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Understanding AL / Machine Learning Overview (TTML5500) Certification

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Overview Learning Objectives Who Should Attend Prerequisite

AL / Machine Learning Training Overview

Understanding AI / Artificial Intelligence Machine Learning / Overview (TTML5500) is a one-day course that will let you explore the basics of AI and its use in the organizational setting. The rapid development of AI, along with its potential to contribute to business efficiency, is among the primary reasons behind the adoption of AI in different organizations. Learners like you who are looking to have a clear and strong foundation in AI can enroll in this course. The expert-led lectures will provide you with an understanding of core concepts that can be useful in the real-world usage of AI.

In this course, learners will get the opportunity to explore AI and its usage in different sub-fields. You will also get a clear picture of the difference between machine learning, neural networks, and expert systems. The expert taking the lectures has an in-depth understanding of the concept along with practical experience in the field that will be an added advantage in your learning journey. The modules dedicated to the Machine Learning project will introduce the various steps that are involved in project management involving advanced technology. Further, you will learn about the modern tools used in the field of AI. By the end of this course, you will be versed in dimensionality reduction, pre-processing data, goal drivers, ML algorithms, feature selection, Python and its libraries, DL Libraries, Resources to Experiment with, and much more.

Objectives

Throughout this hands-on learning experience facilitated by our experts, you will achieve the following objectives:

Understand the basics of AI technologies
Learn and explore types of AI
Explore the benefits of clustering and dimensionality reduction
Discover ML algorithms through real-world applications for ML and DL
Utilize ML considerations to plan ML specifics
Understand ML business needs to plan ML project workflows
Implement model results to monitor further improvements in ML workflows
Construct open-source datasets and hardware from GPUs to TPUs
Apply convoluted NN and advances in NLP
Evaluate DL and unstructured data to advance in image processing

Audience

The course is targeted to allow you to advance data science and ML applications. Learners and professionals who can opt for the course include-

Business analysts who aspire to understand data science techniques
Machine learning data analysts who are involved in ML projects
Data engineers aspiring to develop into ML Engineers
Project managers to harness the ML technologies
Learners who want to explore ML and use Data science
IT aspirants
Data scientists and teams who are leading teams of analysts
Graduates who want to build their career in data science and machine learning
AI Specialists who want to gain expertise in AI and ML algorithms

Prerequisites

To derive the maximum benefit, it is recommended to have a basic understanding of data fundamentals and the ability to understand ML algorithms. The course will benefit learners and professionals with experience in leading ML projects in their organizations.