Artificial Intelligence

by Thinkcloudly Learning Institute Claim Listing

This data science course and AI course from Thinkcloudly will help students to become masters in machine learning & Artificial Intelligence Training Experts. You will learn from top professors and industry experts while being coached one-on-one.

$1499

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img Duration

29 Hours

Course Details

This data science course and AI course from Thinkcloudly will help students become masters in machine learning and artificial intelligence training experts. You will learn from top professors and industry experts while being coached one-on-one.

By taking the Artificial Intelligence and Data Science Program Course, you will be guided through the process of developing AI solutions that will help the company thrive based on technologies and frameworks. Furthermore, you will build models using the collected data as well as lead a team of data scientists.

In today’s market, artificial intelligence certification and machine learning professionals are highly paid. Compared to other sectors, they earn 80–90% more. The growth of this sector has changed the mindset of people.

Masters in artificial intelligence and machine learning experts will be needed in every industry by 2025, according to research. Major industries like pharmaceuticals, information technology, banking, healthcare, telecommunications, and retail will use artificial intelligence and machine learning tools to boost their businesses.

This emerging technology should therefore be familiarized with as soon as possible. This advanced data science and AI program will give you exposure to all important topics and real-time scenarios to become an expert in the technology and get you ready for job interviews.

 

 

What Roles You Can Play?

Management

  • A Data Scientist & AI expert has a significant manegerial role to use data and analytics to build future operations of business

 

AI Tools

  • Use futuristic AI tools to create and optimize classifiers.

 

Team Collaboration

  • Collaborating with stakeholders to ascertain the future scope of the business with data and analytical strategies.

 

Analytics Interpretation

  • A Data Scientist assesses, strategises and implements high level statistical models to bring solutions to complex issues.

 

Data Mining

  • Data mining usable data from data sources for the benefit of the organisation.

 

Data Solution

  • Developing prediction systems and machine learning algorithms.

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