AI ML Course: Artificial Intelligence and Machine Learning

SMART PROFESSIONAL-ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

In today’s rapidly evolving tech landscape, AI ML Course offers an incredible opportunity for those seeking to deepen their knowledge in Artificial Intelligence and Machine Learning. Whether you’re an aspiring data scientist, software engineer, or business professional, this course provides the foundational and advanced skills required to excel in the AI and ML domains.

Courses:

12 Months

SMART PROFESSIONAL-ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

An AI ML Course is designed to teach students the core concepts of artificial intelligence and machine learning. It covers everything from basic programming skills to advanced algorithms used for data processing and predictive analytics. With AI and ML rapidly becoming integral to various industries, this course is ideal for anyone looking to advance their career in tech.

What you learn?
Term 1

This course is perfect for anyone interested in developing expertise in artificial intelligence and machine learning. Whether you’re a beginner or have some experience in programming, our AI ML Course will give you the tools and knowledge needed to succeed in this exciting field.

 

Data Analysis with MS Excel

Data Handling using T-SQL

Managing Large Data Sets with MongoDB

Inferential Statistical Analysis

Application Based Programming in Python

Data Mining with WEKA

  • Work with spreadsheets and analyze data using MS Excel.
  • Learn fundamental concepts of Transact SQL (T SQL) commands.
  • Understand MongoDB concepts, features, architecture and data model, and learn to install, configure, and monitor open-source NoSQL databases.
  • Learn the basics of statistical analysis, descriptive statistics, predictive analytics, probability and Bayes theorem
  • Develop applications using Python language.
  • Use WEKA to perform data mining tasks.
  • Design a capstone project using WEKA and implement data mining tasks
What you learn?
Term 2

AI Primer

AI Applications of NLP

AI and ML with Python

Applied Machine Learning using Python

Deep Learning using Neural Networks

  • Gain an understanding of AI.
    • Gain knowledge in NLP and learn the use of AI in NLP.
    • Use important building blocks of AI & ML with Python, make data modelling decisions, interpret output of the algorithms, and validate results.
    • Master ML concepts and techniques including supervised and unsupervised learning mathematical and heuristic aspects, and hands on modelling to develop AI algorithms.
    • Master deep learning concepts and TensorFlow open-source framework, implement deep learning algorithms, and build ANN (Artificial Neural Networks).
    • Develop a real-world Capstone project on recommendation engine and perform customer churn prediction.
Eligibility:
  • Undergraduates/ graduates/ working professionals/ engineers

General Questions

C is a procedural programming language that focuses on function-based programming, while C++ is an extension of C that supports both procedural and object-oriented programming. C++ includes features like classes, objects, inheritance, and polymorphism, which allow for more complex and structured programs.

No prior programming experience is necessary to start learning C or C++. These languages are often recommended for beginners because they give a solid foundation in understanding how computers work at a low level, especially with memory management and system processes.

  • The time required to learn C or C++ depends on your previous programming experience and the depth of understanding you aim to achieve. For a beginner, learning basic C programming could take a few weeks, while mastering advanced C++ concepts (like object-oriented programming) might take several

A typical C/C++ programming course will cover:

  • Introduction to programming concepts
  • Data types and variables
  • Operators and expressions
  • Control structures (if, for, while, switch)
  • Functions and recursion
  • Arrays and strings
  • Pointers and memory management
  • Structures and classes (for C++)
  • File handling
  • Object-Oriented Programming concepts (for C++)

Upon completing a C or C++ programming course, you will typically receive a certificate from the institution or online platform where you took the course. Some certifications might be recognized by industry professionals, depending on the course provider.

 

  • Yes! C and C++ are still widely used in industries like embedded systems, game development, systems programming, and software engineering. Knowledge of these languages opens up career opportunities in high-performance computing, hardware-related programming, operating systems development, and more.

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