Artificial Intelligence (AI) is now considered one of the most dominant technologies in both IT and other industries. The evolution of AI came out as a result of the rapid innovation in IT and computing technology. IT professionals are now required to know and learn more about the implications of AI to optimize the business and foster the business process. In this Artificial Intelligence (AI) for IT Professionals (AI4IT) course, you will discover how machines can mimic the human brain functions during problem-solving by analyzing a large chunk of data and utilizing the result as the best practices for designing and developing intelligent software and systems. Here, you will also explore how this course will deliver an in-depth understanding of AI, including its applications. You will also learn about the building blocks of AI, and you will also be able to differentiate among AI, ML (Machine Learning), and Deep Learning. One of the most key focuses of this course is learning how to train AI.
ARTIFICIAL INTELLIGENCE (AI) FOR IT PROFESSIONALS (AI4IT) TRAINING
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Prerequisites
- No official prerequisite is mentioned for this Artificial Intelligence (AI) for IT Professionals (AI4IT) course. Hence, it is recommended that you have basic knowledge of statistics.
- You are required to be familiar with the core aspects of AI.
- You are expected to have the experience of developing applications and software using the high-level programming language.
- You should have an urge to know and learn about the upcoming technologies.
What will you gain after this course
- You will learn and know about the basic building blocks of AI.
- You will be able to implement and integrate AI in the business process of the organization.
- Upon successful completion of this course, you will be recognized as a certified AI for IT professionals.
- With the help of this certification, You can accelerate your career growth in the field of IT and other industries, as well.
Jobs you can get
with a ARTIFICIAL INTELLIGENCE (AI) FOR IT PROFESSIONALS (AI4IT) TRAINING
- Intelligence Analyst
- AI / ML Annotation Analyst
- AI / ML Rotation Program
- AI Trainer
- AI Conversation Designer
Select your preferred training delivery mode
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Introduction to Artificial Intelligence (AI)
<ul>
<li> Building Blocks of AI</li>
<li> Machine Learning</li>
<li> Deep Learning</li>
<li> AI vs. Machine Learning vs. Deep Learning</li>
<li> How to train AI</li>
</ul>
<li> Building Blocks of AI</li>
<li> Machine Learning</li>
<li> Deep Learning</li>
<li> AI vs. Machine Learning vs. Deep Learning</li>
<li> How to train AI</li>
</ul>
Implementing AI in an Organisation
<ul>
<li> Identify AI Opportunities</li>
<li> Develop an AI Roadmap</li>
<li> Identify AI Solutions</li>
<li> Identify Data Requirements</li>
</ul>
<li> Identify AI Opportunities</li>
<li> Develop an AI Roadmap</li>
<li> Identify AI Solutions</li>
<li> Identify Data Requirements</li>
</ul>
Implementation Areas of AI
<ul>
<li> Voice Recognition</li>
<li> Natural Language Generation (NLG)</li>
<li> Virtual Assistants</li>
<li> Cognitive Computing</li>
<li> Computer Vision</li>
<li> Recommendation Systems</li>
<li> Natural Language Processing</li>
<li> Neural Networks</li>
<li> Robotic Process Automation</li>
<li> Machine Learning Platform</li>
<li> Predictive Analysis</li>
<li> Biometric Recognition</li>
<li> Image Analysis</li>
<li> Deep Learning Platforms</li>
<li> Quantum Computing</li>
<li> Decision Making and Management</li>
<li> Hardware Optimisation</li>
</ul>
<li> Voice Recognition</li>
<li> Natural Language Generation (NLG)</li>
<li> Virtual Assistants</li>
<li> Cognitive Computing</li>
<li> Computer Vision</li>
<li> Recommendation Systems</li>
<li> Natural Language Processing</li>
<li> Neural Networks</li>
<li> Robotic Process Automation</li>
<li> Machine Learning Platform</li>
<li> Predictive Analysis</li>
<li> Biometric Recognition</li>
<li> Image Analysis</li>
<li> Deep Learning Platforms</li>
<li> Quantum Computing</li>
<li> Decision Making and Management</li>
<li> Hardware Optimisation</li>
</ul>
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Course details
Duration
Full time, Part-time, Evening and Weekends, Virtual online
Video
London, Flexible online
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