Artificial Intelligence & Machine Learning
About This Course
Artificial Intelligence has become the centrepiece of strategic decision making for organizations. It is disrupting the way industries function – from sales and marketing to finance and HR, companies are betting on AI to give them a competitive edge. AI for Business Leaders is a thoughtfully created course designed specifically for business people and does not require any programming.
“Artificial Intelligence & Machine Learning” is an advanced and comprehensive course that delves into the exciting world of AI and machine learning. This course is designed for individuals with some prior programming knowledge and an interest in understanding how AI and machine learning technologies are transforming industries and everyday life.
Learning Objectives
Develop a strong understanding of AI and machine learning concepts, algorithms, and applications.
Learn to preprocess data, build predictive models, and analyze large datasets using machine learning techniques.
Acquire the skills to implement and deploy AI solutions for real-world applications.
Material Includes
- Reference Material
- Certificate
Requirements
- Does not assume any prior knowledge of Artificial Intelligence
- Bring your business and managerial experience
- The course will help you do the rest
This course is best for:
- Programmers, data scientists, software engineers, and individuals with prior programming knowledge interested in advancing their skills in AI and machine learning. This course is suitable for those looking to build intelligent systems, explore AI applications, and harness the power of machine learning algorithms to solve complex problems and drive innovation in various industries.
Curriculum
22 Lessons21h 30m
Introduction to Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence (AI) and Machine Learning – Unraveling the Power of Intelligent Systems
Types of Machine Learning – Understanding Supervised, Unsupervised, and Reinforcement Learning
Data and Features in Machine Learning – Preparing Data for Model Training
Model Selection and Training – Choosing Algorithms and Training Models for Predictive Tasks
Data Preprocessing and Feature Engineering
Supervised Learning: Regression and Classification Algorithms
Deep Learning: Neural Networks and Convolutional Neural Networks (CNN)
Natural Language Processing (NLP) and Sentiment Analysis
Reinforcement Learning and AI Applications
Material Includes
- Reference Material
- Certificate
Enrollment validity:
Lifetime
