Certificate Course In Artificial Intelligence & Machine Learning: What is AI & Machine Learning
This is a course where you will understand the basics of AI. Since AI is a combination of Machine Learning and Deep Learning, you will learn about Machine Learning with a hands-on demo. Then, you will get an idea about the top applications of Machine Learning. This tutorial will also help you learn about Deep Learning in Python using TensorFlow. You will come across some essential Deep Learning applications.
The curriculum of AI and Machine Learning Course 2021
This course will cover all the following topics that will help you learn how to become an AI Engineer and look at some vital machine learning and deep learning interview questions.
- Introduction to AI
- AI Fundamentals
- ML Fundamentals
- ML: Microsoft approach
- ML: AWS approach
- ML: Advanced Topics
- Application of AI & M
What are Artificial Intelligence and Machine learning?
AI and Machine Learning are two concepts that are correlated to each other and are a part of Computer Science.
Artificial Intelligence: AI is a dimension of Computer Science that upgrades the computer system so that it can mimic the human mind. This process gives a computer “ Human Made thinking Power”. This is a very common concept in 2021, Siri, Google’s AlphaGo, Alexa, AI in Chess playing, etc. are some commonly used AI’s in today’s generation.
Machine Learning: Machine learning is although used with the word “Artificial Intelligence” but its concept is totally different. Machine learning is a process of extracting knowledge from the data. It is a smaller part of AI that enables machines to learn from previous experiences or data without being programmed. Some commonly seen examples of Machine learning are Recommendations on Social Media, Facebook Auto-Tagging Suggestion, Email-SPam filter, etc.
Job Opportunities in Artificial Intelligence and Machine Learning
If you have a certificate or skills in AI and Machine Learning then you can direct yourself for the following job Opportunities in 2021:
- Expert Analyst
- Applied Machine Learning Engineer
- Data Scientist
- Analytics Manager / Data Science Leader
- Research Scientist