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Understanding AI / 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 Training
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.
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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.
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Reviews
•As an ML Engineer, I have gone through the course details and was impressed by the way Vinsys experts deliver up-to-date knowledge. The course curriculum is designed from learners' perspectives to professionals understanding. I have learned model training and validation to learn to test the model at my organization. Overall, the course was a huge success!
Ganesh UgheMachine Learning Security Engineer
My team appreciated the course knowledge and structure that is focused on evaluating and monitoring model results to make further improvements. They are applying feature selection concepts easily in organizational projects, showcasing collaboration and communication efficiently. My information architects are not able to make decisions in machine learning algorithms effectively. All thanks to Vinsys!
Abhishek ShettyAI Operations Engineer
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