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Artificial Intelligence (AI) Certification Training Course » BDM04

Artificial Intelligence (AI) Certification Training Course

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DateFormatDurationFees (GBP)Register
08 Jul - 12 Jul, 2024Live Online5 Days£1875Register →
09 Sep - 13 Sep, 2024Live Online5 Days£1875Register →
25 Nov - 29 Nov, 2024Live Online5 Days£1875Register →
09 Dec - 20 Dec, 2024Live Online10 Days£3750Register →
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19 Jun - 21 Jun, 2024Nairobi3 Days£3400Register →
08 Jul - 12 Jul, 2024London5 Days£4750Register →
09 Sep - 11 Sep, 2024Toronto3 Days£3550Register →
14 Oct - 18 Oct, 2024London5 Days£4750Register →
16 Dec - 27 Dec, 2024Kuala Lumpur10 Days£7280Register →

Why select this training course?

Artificial Intelligence (AI) has been in the news recently, from the possibility of AI replacing jobs to its possible use in autonomous vehicles. With the growing advances in AI, it is important to understand where the technology is and where it is going. Artificial Intelligence has positively impacted the world of business, allowing companies to innovate and grow. It enables companies to create new and valuable business capabilities. The technology can be applied to many different sectors and industries.

How has artificial intelligence transformed the way businesses operate? Businesses rely on artificial intelligence to help them save time, improve productivity and perform ever more challenging tasks. Artificial Intelligence has had a deep impact on the way businesses operate. AI has allowed businesses to automate processes previously performed by humans, resulting in efficiency and cost reductions. This has allowed businesses to increase the quantum of resources they can dedicate to growth and innovation. At the same time, AI has enabled companies to expand into new markets and serve new customer segments more precisely than ever before.

How is artificial intelligence used today? The use of Artificial Intelligence has expanded to many industries. It is being used for complex problems that require the use of data analysis and machine learning. Today it is employed for more than providing personal recommendations. It can also be used to analyze and predict outcomes based on your customer behavior. It is being wielded to diagnose diseases and predict future health conditions. AI has many applications, from online shopping, cybersecurity, healthcare, advertising, web search, and supply chain to many other sectors.

The potential for artificial intelligence to improve business operations and generate new revenue streams is exciting and promising. Thus, Rcademy recognizing its growing popularity in the present decade has introduced an Artificial Intelligence Certification Training Course. The course highlights how artificial intelligence is used in the business world and how it can be used in your business to improve operations, increase revenue, and reduce costs. By introducing participants to the basics of artificial intelligence, they can apply this knowledge in various business situations. They will also be able to create and evaluate a business plan for a business run using artificial intelligence. This course will teach you how to create and deploy an AI-based solution to your organisation’s business problems.

Who should attend?

Rcademy’s Artificial Intelligence Certification Training Course is ideal for individuals who love to work with numbers and are data-oriented:

  • Data Managers
  • Business Analysts
  • Business architects
  • Project manager
  • IT professionals
  • Graduates and Scholars
  • Entrepreneurs

What are the course objectives?

Rcademy’s Artificial Intelligence Certification Training Course has been designed with the following objectives:

  • To gain a fundamental understanding of how Artificial Intelligence is being put to service in different areas of life
  • To understand various concepts and related subsets of Artificial Intelligence
  • To understand how Artificial Intelligence provides problem-solving solutions in different business scenarios
  • To develop an understanding of various challenges, shortcomings and uncertainties of Artificial Intelligence
  • To learn how to formulate business opportunities emerging from Artificial Intelligence
  • To gain an understanding of efficient ways to acquire, store, visualise and process data
  • To get hands-on knowledge of related tools and techniques and ways to use them
  • To learn how different techniques of Artificial Intelligence, such as face recognition, speech recognition, robotics, etc., have applications in day-to-day business operations
  • To gain an understanding of the Artificial Intelligence framework and structures

How will this course be presented?

  • Interactive sessions
  • Use of case studies
  • Management games
  • Learning preparation of reports, charts, graphs
  • Real-time exercises
  • Problem-solving and Group discussion sessions

What are the topics covered in this course?

Module 1: Introduction to Artificial Intelligence

  • Intelligent agents, problem-solving agents
  • Search-based and engineering-based goals of AI
  • Logical AI
  • Pattern recognition
  • Evolution of AI
  • Approaches to AI

Module 2: Data and Algorithm

  • Data acquisition
  • Types of data acquisition systems
  • Stages of data processing
  • Data visualization
  • Regression vs classification
  • Data storage and its type

Module 3: Natural Language Processing

  • Components of Natural Language Processing
  • Lexical analysis
  • Syntactic analysis
  • Pragmatic analysis
  • Applications of NLP in business
  • Speech recognition and its application in business
  • Natural language understanding
  • Utility of chatbots

Module 4: Artificial Neural Networks

  • Types of Artificial Neural Networks
  • Feedforward ANN and Feedback ANN
  • Deep learning
  • Generative Adversarial Networks

Module 5: Image and Face Recognition

  • Modes of image recognition
  • Types of image recognition
  • Use of image recognition in various industries
  • Face recognition: face detection, face analysis
  • Face recognition software
  • Applications of face recognition in various businesses and industries

Module 6: Robotics

  • Evolution of robots and robotics
  • Robot locomotion
  • Application of robotics in various fields

Module 7: Knowledge Representation

  • Representation and mapping
  • First-order logic
  • Knowledge representation framework
  • Inferential knowledge
  • Procedural knowledge

Module 8: Use of Artificial Intelligence in Business

  • Intelligence Process Automation
  • Ability to train AI
  • Digital employees
  • Handling customer inquiries
  • Customer support
  • Optimizing business processes

Module 9: Implementation of AI in Business

  • Understanding the Landscape of Analytics
  • Embedding AI into Business Processes
  • Virtual agents
  • Hardware devices with AI

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