ARTIFICIAL INTELLIGENCE PROGRAM

Overview:

IITBE offers one of the top AI programmes in Noida and throughout India, allowing you to work with cutting-edge AI systems. You’ll study Excel, Machine Learning, MLOps, Prediction algorithms, Git, etc., which will help you become an AI specialist. It’s rare to find a professional who is knowledgeable with AI technology. As a result, high salaries are given to employees with experience in AI technology. Noida is expected to become a more popular location for software firms as artificial intelligence advances. In light of these developments, IITBE’s Artificial Intelligence training in Noida is expected to grow.

Artificial Intelligence (AI) is the most significant new technology. There has never been a greater demand for deep learning and machine learning firms and their values have skyrocketed as a result. We are aware of this trend and are ready to offer popular courses on the relevance of these technologies to young aspiring professionals eager to boost their professions.

Key Learnings:

  • AI’s definition, goal, scope, phases, applications, and outcomes
  • Machine learning and deep learning fundamental principles
  • There are three types of learning: supervised, semi-supervised, and unsupervised.
  • The phases of the Machine Learning workflow and how to properly execute them
  • The importance of performance metrics and how to recognise their most important ways

Course Modules

  • Decoding Artificial Intelligence
  • Meaning, Scope, and Stages Of Artificial Intelligence
  • Three Stages of Artificial Intelligence
  • Applications of Artificial Intelligence
  • Image Recognition
  • Applications of Artificial Intelligence – Examples
  • Effects of Artificial Intelligence on Society
  • Supervises Learning for Telemedicine
  • Solves Complex Social Problems
  • Benefits Multiple Industries
  • Key Takeaways
  • Fundamentals Of Machine Learning and Deep Learning
  • Meaning of Machine Learning
  • Relationship between Machine Learning and Statistical Analysis
  • Process of Machine Learning
  • Types of Machine Learning
  • Meaning of Unsupervised Learning
  • Meaning of Semi-supervised Learning
  • Algorithms of Machine Learning
  • Regression
  • Naive Bayes
  • Naive Bayes Classification
  • Machine Learning Algorithms
  • Deep Learning
  • Artificial Neural Network Definition
  • Definition of Perceptron
  • Online and Batch Learning
  • Key Takeaways
  • Learning Objective
  • Machine Learning Workflow
  • Get more data
  • Ask a Sharp Question
  • Add Data to the Table
  • Check for Quality
  • Transform Features
  • Answer the Questions
  • Use the Answer
  • Key Takeaways
  • Performance Metrics
  • Need For Performance Metrics
  • Key Methods Of Performance Metrics
  • Confusion Matrix Example
  • Terms Of Confusion Matrix
  • Minimize False Cases
  • Minimize False Positive Example
  • Accuracy
  • Precision
  • Recall Or Sensitivity
  • Specificity
  • F1 Score
  • Key Takeaways