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TIME TO REDESIGN YOUR CAREER FOR THE AGE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

The top in-demand AI careers include machine learning engineer, data scientist, AI research scientist, robotics engineer, UX designer, AI ethicist, and business intelligence developer.

WHY ARTIFICIAL INTELLIGENCE?

Modern businesses use data in just about every part of their work

Artificial Intelligence

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. It involves tasks such as learning, reasoning, and problem-solving.

Machine Learning

Machine learning is a subset of artificial intelligence focused on developing algorithms with the ability to learn without explicitly being programmed.

Deep
Learning

Deep Learning is a subset of machine learning. It is responsible for many of the awe-inspiring news stories about AI in the news (e.g., self-driving cars, ChatGPT).

Computer
Vision

Computer vision is a field of artificial intelligence (AI) enabling computers to derive information from images, videos and other inputs.

PYTHON COURSE

Dive into the core concepts of Python, including variables, data types, libraries, operators, strings, data structures like lists, dictionaries, and tuples to organize and manipulate information effectively, control flow statements (if/else, loops) and build dynamic applications.

Learn the core ideas in machine learning, and build your first models. Machine learning (ML) is a branch of AI and computer science that focuses on building computer systems that learn from data, enabling software to improve its performance over time. It does this by identifying key patterns and relationships within the data.

COMPUTER VISION COURSE

Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information.

Start learning Python - the world's most in demand programming language.

  • PYTHON FUNDAMENTALS

    Comfortable and intuitive visual drag and drop builder.
  • PYTHON WEB SCRAPING

    You will learn how to analyze complex HTML structures and identify the relevant data to be extracted using Selenium.
  • PYTHON FOR ANALYTICS

    This course will teach how to use Python packages and functions to analyze data and extract valuable insights.

FACE DETECTION & RECOGNITION

A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.

Face detection is the initial step in many facial analysis applications. It involves identifying the presence of a human face within an image or video frame. Essentially, it's about determining if there is a face in a given visual input and, if so, pinpointing its location.

Face recognition takes face detection a step further by identifying or verifying a specific person based on their facial features. It's a more complex process that involves comparing a detected face to a database of known faces.

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