Introduction to Artificial Intelligence


Artificial Intelligence & Robotics

Artificial Inteligence

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.

Course Content

-Introduction to AI-
History of AI
Application of AI
Machine learning basics
Gradient Descent in AI
Cost Function in AI

-Python Basics
Conditional Statements

Ndarray Object
Data Types in NumPy
Array Attributes and Manipulation in NumPy
Indexing & Slicing

Data Structures in Pandas
Series and Data Frame in Pandas
Basic Functions in Pandas
Missing Data
Merging/ Joining
Categorical Data

Simple Linear Regression
Multiple Linear Regressions
Decision Tree Regression
Random Forest Regression

Support Vector Machine Classification (SVM)
KNN Classification

K-means Clustering
Reinforcement Learning
Bellman Equation
Q-Learning Algorithm


Machine Learning Engineer

With an average salary of over $1000, machine learning engineers are some of the most in-demand jobs in artificial intelligence. They are most sought by many organizations and are immediately hired for operations if found suitable. Machine learning engineers come with competencies in software, statistics, applied math natural language processing, and working knowledge of tools such as IntelliJ, Eclipse, and more. If you are an AI student, you might want to consider more about becoming a machine learning engineer.

Research Scientist

The job role of a research scientist is inter-disciplinary. A research scientist would be included in deep learning, reinforcement learning, natural language processing, computer perception, and more. If you are willing to become a research scientist, you have to possess skills in parallel computing, distributed computing, algorithms, and computer architecture. You can also expect an average salary of over $80,000.

Business Intelligence Development

A business intelligence developer creates the table business acumen apart from skills on Artificial Intelligence and Machine Learning. He or she is responsible for crunching massive slab of information for business insights and work on enhancing the profits of an organization from a myriad of perspectives. From maintaining and designing information for cloud-based platforms to optimizing workflows and processes, business intelligence developers are accountable for getting company growth on their shoulders.

Apart from these, the opportunity for jobs in artificial intelligence and machine learning also have job roles like –

  • Full-stack developer
  • Software architect
  • Data analyst
  • Data warehouse engineer
  • Product manager
  • Front-end developer

Data Scientist

From now, It is quite sure you would have understood the work and responsibilities of data scientists. They are basically involved in getting data from multiple touchpoints, analyzing it, interpreting it for inferences and insights, and coming up with better solutions for business problems. Artificial Intelligence and Machine learning are essential parts of data science, where techniques from both such as regression, predictive analytics, and more are applied for insight creation.