Hands-On Artificial Intelligence for Small Businesses

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£ 150 VAT inc.

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Drive your business with faster, smarter solutions and services using the power of artificial intelligence.Artificial Intelligence has become an important and integral part of many industries, revolutionizing sectors such as banking, medicine, transportation, and more. Recently, SMEs have been leveraging AI to scale up and become more efficient and competitive. This course is your stepping stone to master the power of AI for your own business and help increase its competitive edge to drive growth and market differentiation.This course will teach you to approach AI from a business leader’s perspective using practical, data-driven methods to identify and quantify business opportunities. Using Python, you will learn to use several varieties of machine learning techniques, improving the capability of your business to deliver better and faster solutions to its customers and clients.By the end of the course, you will have the skills to improve the services and innovations of your business using the power of AI and key Python tools.The code bundle for this video course is available at -

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Build neural networks for business solutions
Understand AI and its different areas of application to business for managing workflows, optimizing operations, and predicting trends
Create machine learning models using supervised and unsupervised machine learning techniques
Build smart systems to analyze data for enhanced customer experience
Optimize machine learning models for better performance and accuracy
Design intelligent agents to solve real-world problems

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Artificial Intelligence
  • Installation
  • Programming
  • Install

Course programme

Getting Started with Artificial Intelligence with Python 6 lectures 45:26 The Course Overview This video will give you an overview about the course. What Can AI Do for Businesses? The aim of this video is to identify the key areas that AI will be applied to in the course, as well as uses of AI technologies in general.
  • Define Artificial Intelligence
  • Identify common business use cases
  • Explore the possibilities created by AI-based solutions
Set Up and Installation – Anaconda and PyTorch The aim of this video is to successfully install and test the two major packages that will be used in the course. We will also explore the Jupyter notebook development environment.
  • Install Anaconda
  • Install PyTorch
  • Use Jupyter notebooks to test the installations
Notebooks and Debugging The aim of this video is to understand the power of Jupyter notebooks and become familiar with the properties of the development environment.
  • Write incremental code
  • Test code and leverage print statements
  • Learn to restart and interrupt the kernel as needed
Working with Lambdas and Functional Programming Tools The aim of this video is to understand lambdas, filters, and maps, and to be able to implement argmax and function generators in Python.
  • Understand that lambdas are just unnamed function literals
  • Define functions that return lambdas
  • Use maps, filters, and functions as parameters to process collections
Understanding NumPy and Matplotlib The aim of this video is to use NumPy and Matplotlib to process and display data.
  • Load data into a NumPy array
  • Use slicing to select x and y values to display
  • Use Matplotlib to scatterplot data
Getting Started with Artificial Intelligence with Python - Quiz Getting Started with Artificial Intelligence with Python 6 lectures 45:26 The Course Overview This video will give you an overview about the course. What Can AI Do for Businesses? The aim of this video is to identify the key areas that AI will be applied to in the course, as well as uses of AI technologies in general.
  • Define Artificial Intelligence
  • Identify common business use cases
  • Explore the possibilities created by AI-based solutions
Set Up and Installation – Anaconda and PyTorch The aim of this video is to successfully install and test the two major packages that will be used in the course. We will also explore the Jupyter notebook development environment.
  • Install Anaconda
  • Install PyTorch
  • Use Jupyter notebooks to test the installations
Notebooks and Debugging The aim of this video is to understand the power of Jupyter notebooks and become familiar with the properties of the development environment.
  • Write incremental code
  • Test code and leverage print statements
  • Learn to restart and interrupt the kernel as needed
Working with Lambdas and Functional Programming Tools The aim of this video is to understand lambdas, filters, and maps, and to be able to implement argmax and function generators in Python.
  • Understand that lambdas are just unnamed function literals
  • Define functions that return lambdas
  • Use maps, filters, and functions as parameters to process collections
Understanding NumPy and Matplotlib The aim of this video is to use NumPy and Matplotlib to process and display data.
  • Load data into a NumPy array
  • Use slicing to select x and y values to display
  • Use Matplotlib to scatterplot data
Getting Started with Artificial Intelligence with Python - Quiz The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. The Course Overview This video will give you an overview about the course. This video will give you an overview about the course. This video will give you an overview about the course. What Can AI Do for Businesses? The aim of this video is to identify the key areas that AI will be applied to in the course, as well as uses of AI technologies in general.
  • Define Artificial Intelligence
  • Identify common business use cases
  • Explore the possibilities created by AI-based solutions
What Can AI Do for Businesses? The aim of this video is to identify the key areas that AI will be applied to in the course, as well as uses of AI technologies in general.
  • Define Artificial Intelligence
  • Identify common business use cases
  • Explore the possibilities created by AI-based solutions
What Can AI Do for Businesses? The aim of this video is to identify the key areas that AI will be applied to in the course, as well as uses of AI technologies in general.
  • Define Artificial Intelligence
  • Identify common business use cases
  • Explore the possibilities created by AI-based solutions
What Can AI Do for Businesses? The aim of this video is to identify the key areas that AI will be applied to in the course, as well as uses of AI technologies in general.
  • Define Artificial Intelligence
  • Identify common business use cases
  • Explore the possibilities created by AI-based solutions
The aim of this video is to identify the key areas that AI will be applied to in the course, as well as uses of AI technologies in general.
  • Define Artificial Intelligence
  • Identify common business use cases
  • Explore the possibilities created by AI-based solutions
The aim of this video is to identify the key areas that AI will be applied to in the course, as well as uses of AI technologies in general.
  • Define Artificial Intelligence
  • Identify common business use cases
  • Explore the possibilities created by AI-based solutions
Set Up and Installation – Anaconda and PyTorch The aim of this video is to successfully install and test the two major packages that will be used in the course. We will also explore the Jupyter notebook development environment.
  • Install Anaconda
  • Install PyTorch
  • Use Jupyter notebooks to test the installations
Set Up and Installation – Anaconda and PyTorch The aim of this video is to successfully install and test the two major packages that will be used in the course. We will also explore the Jupyter notebook development environment.
  • Install Anaconda
  • Install PyTorch
  • Use Jupyter notebooks to test the installations
Set Up and Installation – Anaconda and PyTorch The aim of this video is to successfully install and test the two major packages that will be used in the course. We will also explore the Jupyter notebook development environment.
  • Install Anaconda
  • Install PyTorch
  • Use Jupyter notebooks to test the installations
Set Up and Installation – Anaconda and PyTorch The aim of this video is to successfully install and test the two major packages that will be used in the course. We will also explore the Jupyter notebook development environment.
  • Install Anaconda
  • Install PyTorch
  • Use Jupyter notebooks to test the installations
The aim of this video is to successfully install and test the two major packages that will be used in the course. We will also explore the Jupyter notebook development environment.
  • Install Anaconda
  • Install PyTorch
  • Use Jupyter notebooks to test the installations
The aim of this video is to successfully install and test the two major packages that will be used in the course. We will also explore the Jupyter notebook development environment.
  • Install Anaconda
  • Install PyTorch
  • Use Jupyter notebooks to test the installations
Notebooks and Debugging The aim of this video is to understand the power of Jupyter notebooks and become familiar with the properties of the development environment.
  • Write incremental code
  • Test code and leverage print statements
  • Learn to restart and interrupt the kernel as needed
Notebooks and Debugging The aim of this video is to understand the power of Jupyter notebooks and become familiar with the properties of the development environment.
  • Write incremental code
  • Test code and leverage print statements
  • Learn to restart and interrupt the kernel as needed
Notebooks and Debugging The aim of this video is to understand the power of Jupyter notebooks and become familiar with the properties of the development environment.
  • Write incremental code
  • Test code and leverage print statements
  • Learn to restart and interrupt the kernel as needed
Notebooks and Debugging The aim of this video is to understand the power of Jupyter notebooks and become familiar with the properties of the development environment.
  • Write incremental code
  • Test code and leverage print statements
  • Learn to restart and interrupt the kernel as needed
The aim of this video is to understand the power of Jupyter notebooks and become familiar with the properties of the development environment.
  • Write incremental code
  • Test code and leverage print statements
  • Learn to restart and interrupt the kernel as needed
The aim of this video is to understand the power of Jupyter notebooks and become familiar with the properties of the development environment.
  • Write incremental code
  • Test code and leverage print statements
  • Learn to restart and interrupt the kernel as needed
Working with Lambdas and Functional Programming Tools The aim of this video is to understand lambdas, filters, and maps, and to be able to implement argmax and function generators in Python.
  • Understand that lambdas are just unnamed function literals
  • Define functions that return lambdas
  • Use maps, filters, and functions as parameters to process collections
Working with Lambdas and Functional Programming Tools The aim of this video is to understand lambdas, filters, and maps, and to be able to implement argmax and function generators in Python.
  • Understand that lambdas are just unnamed function literals
  • Define functions that return lambdas
  • Use maps, filters, and functions as parameters to process collections
Working with Lambdas and Functional Programming Tools The aim of this video is to understand lambdas, filters, and maps, and to be able to implement argmax and function generators in Python.
  • Understand that lambdas are just unnamed function literals
  • Define functions that return lambdas
  • Use maps, filters, and functions as parameters to process collections
Working with Lambdas and Functional Programming Tools The aim of this video is to understand lambdas, filters, and maps, and to be able to implement argmax and function generators in Python.
  • Understand that lambdas are just unnamed function literals
  • Define functions that return lambdas
  • Use maps, filters, and functions as parameters to process collections
The aim of this video is to understand lambdas, filters, and maps, and to be able to implement argmax and function generators in Python.
  • Understand that lambdas are just unnamed function literals
  • Define functions that return lambdas
  • Use maps, filters, and functions as parameters to process collections
The aim of this video is to understand lambdas, filters, and maps, and to be able to implement argmax and function generators in Python.
  • Understand that lambdas are just unnamed function literals
  • Define functions that return lambdas
  • Use maps, filters, and functions as parameters to process collections
Understanding NumPy and Matplotlib The aim of this video is to use NumPy and Matplotlib to process and display data.
  • Load data into a NumPy array
  • Use slicing to select x and y values to display
  • Use Matplotlib to scatterplot data
Understanding NumPy and Matplotlib The aim of this video is to use NumPy and Matplotlib to process and display data.
  • Load data into a NumPy array
  • Use slicing to select x and y values to display
  • Use Matplotlib to scatterplot data
Understanding NumPy and Matplotlib The aim of this video is to use NumPy and Matplotlib to process and display data.
  • Load data into a NumPy array
  • Use slicing to select x and y values to display
  • Use Matplotlib to scatterplot data
Understanding NumPy and Matplotlib The aim of this video is to use NumPy and Matplotlib to process and display data.
  • Load data into a NumPy array
  • Use slicing to select x and y values to display
  • Use Matplotlib to scatterplot data
The aim of this video is to use NumPy and Matplotlib to process and display data.
  • Load data into a NumPy array
  • Use slicing to select x and y values to display
  • Use Matplotlib to scatterplot data
The aim of this video is to use NumPy and Matplotlib to process and display data.
  • Load data into a NumPy array
  • Use slicing to select x and y values to display
  • Use Matplotlib to scatterplot data
Getting Started with Artificial Intelligence with Python - Quiz Getting Started with Artificial Intelligence with Python - Quiz Getting Started with Artificial Intelligence with Python - Quiz Getting Started with Artificial Intelligence with Python - Quiz Predicting Sales with Supervised Learning. 5 lectures 58:22 Classification versus Regression The aim of this video is to understand supervised learning and its two major flavors: classification and regression.
  • Define Supervised Learning
  • Identify useful algorithms for classification and regression
  • Apply Support Vector Machines to classifying some test data
Training, Testing, and Validation For reasons discussed in the video, data used to train a machine learning model can’t be used to accurately measure the model’s performance. The aim of this video is to separate training, testing, and validation datasets so that models can be trained, tweaked, and accurately measured ta so that distances between points are more meaningful.
  • Understand data whitening and...

Additional information

No prior knowledge of AI is required but basic knowledge of Python is assumed

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Hands-On Artificial Intelligence for Small Businesses

£ 150 VAT inc.

The best Other Education courses

See all

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