Python Course Outlines in the UAE

Total Courses 99


Kivy: Building Android Apps with Python

  7 hours

 

Introduction to Data Science and AI using Python

  35 hours

Python Programming for Finance

  35 hours

Python in Data Science

  35 hours

Programming for Biologists

  28 hours

Python for Matlab Users

  14 hours

MongoDB for Python Developers

  14 hours

Python for Natural Language Generation

  21 hours

Natural Language Processing (NLP) with Python spaCy

  14 hours

PostgreSQL with Python

  21 hours

Advanced Python - 4 Days

  28 hours

Python: Automate the Boring Stuff

  14 hours

Analyzing Financial Data with Python

  35 hours

Web Scraping with Python

  7 hours

Python Programming Fundamentals

  14 hours

Advanced Python - 1 Day

  7 hours

Python with Plotly and Dash

  14 hours

Parallel Programming with Python

  14 hours

Automating with Python and SikuliX

  7 hours

Bioinformatics with Biopython

  14 hours

Python Fundamentals plus

  14 hours

 

Python for Excel

  14 hours

Python for Data Analysis

  28 hours

Data Analytics with Tableau, Python, R, and SQL

  35 hours

 

Machine Learning for Banking (with Python)

  21 hours

Machine Learning for Finance (with Python)

  21 hours

Applied AI from Scratch in Python

  28 hours

Recommender Systems with Python

  14 hours

Python: Machine Learning with Text

  21 hours

Text Summarization with Python

  14 hours

Machine Learning with Python – 2 Days

  14 hours

Machine Learning with Python – 4 Days

  28 hours

GANs and Variational Autoencoders in Python

  14 hours

Fundamentals of Artificial Intelligence and Machine Learning

  28 hours

 

Deep Learning for Banking (with Python)

  28 hours

Deep Learning for Finance (with Python)

  28 hours

Deep Reinforcement Learning with Python

  21 hours

Advanced Machine Learning with Python

  21 hours

 

Python, Spark, and Hadoop for Big Data

  21 hours

FARM (FastAPI, React, and MongoDB) Full Stack Development

  14 hours

Developing APIs with Python and FastAPI

  14 hours

Natural Language Processing with Python

  28 hours

Natural Language Processing with Deep Dive in Python and NLTK

  35 hours

 
Robotic Process Automation (RPA)

Robotic Process Automation (RPA)

What is Robotic Process Automation (RPA)?

Building Chatbots in Python

  21 hours

 

Python Programming - 4 days

  28 hours

Backend Development with Python

  35 hours

BDD with Python and Behave

  7 hours

 

Test Automation with Selenium and Python

  14 hours

 

Unit Testing with Python

  21 hours

 
Object-Oriented Programming

Object-Oriented Programming

What is Object-Oriented Programming?

Learn Object-Oriented Programming with Python

  14 hours

Python and Spark for Big Data (PySpark)

  21 hours

 

Computer Vision with Python

  14 hours

 

Building Microservices with Python

  7 hours

Python for Geographic Information System (GIS)

  21 hours

 

Data Analysis with Tableau and Python

  14 hours

Data Visualization with Python

  14 hours

 

IoT Programming with Python

  14 hours

Deep Learning for Telecom (with Python)

  28 hours

 

Data Analysis with SQL, Python and Spotfire

  14 hours

 

Data Mining with Python

  14 hours

 

Python Security

  14 hours

 

Penetration Testing: Python and Kali Linux

  14 hours

Advanced Deep Learning with Keras and Python

  14 hours

ArcGIS with Python Scripting

  14 hours

 

Python for Network Engineers

  14 hours

Algorithmic Trading with Python and R

  14 hours

KNIME with Python and R for Machine Learning

  14 hours

Python and Deep Learning with OpenCV 4

  14 hours

 

Anomaly Detection with Python and R

  14 hours

 

Fraud Detection with Python and TensorFlow

  14 hours

 

Deploying Python Web Applications with Gunicorn

  7 hours

RabbitMQ with Python

  14 hours

 
CUDA (Compute Unified Device Architecture)

CUDA (Compute Unified Device Architecture)

What is CUDA (Compute Unified Device Architecture)?

GPU Programming with CUDA and Python

  14 hours

 

Apache Kafka for Python Programmers

  7 hours

 

Spark Streaming with Python and Kafka

  7 hours

 

ParlAI for Conversational AI

  14 hours

 
CI/CD (Continuous Integration / Continuous Delivery)

CI/CD (Continuous Integration / Continuous Delivery)

What is CI/CD (Continuous Integration / Continuous Delivery)?

Continuous Integration / Continuous Delivery (CI/CD) with Python

  14 hours

GPU Data Science with NVIDIA RAPIDS

  14 hours

NLP with Python and TextBlob

  14 hours

Data Analysis with SQL, Python, and Tableau

  14 hours

Web application development with Flask

  14 hours

Build REST APIs with Python and Flask

  14 hours

Advanced Flask

  14 hours

Machine Learning with Python and Pandas

  14 hours

Data Analysis with Python, Pandas, and Numpy

  14 hours

Accelerating Python Pandas Workflows with Modin

  14 hours

Web Development with Django

  21 hours

Build REST APIs with Python and Django

  14 hours

Advanced Django

  14 hours

 
Content Management System (CMS)

Content Management System (CMS)

What is Content Management System (CMS)?

Django CMS for Administrators

  14 hours

Django CMS for Developers

  21 hours

Wagtail CMS for Developers

  21 hours

Web Development with Web2Py

  28 hours

Scaling Data Analysis with Python and Dask

  14 hours

GUI Programming with Python and PyQt

  21 hours

GUI Programming with Python and Tkinter

  14 hours

Game Development with PyGame

  7 hours

Scientific Computing with Python SciPy

  7 hours

Python Courses Testimonials

Total Feedbacks 50


I preferred the exercise and learning about the nooks and crannies of Python.

Connor Brierley-Green

Python Programming



Joey has an infectious enthusiasm about programming. And he was very good at adapting to our needs and interests on the fly.

Randy Enkin

Python Programming



Many examples made me easy to understand.

Lingmin Cao

Python Programming



Fact that customization was taken seriously.

jurgen linsen

Python Programming



As I was the only participant the training could be adapted to my needs.

Kevin THIERRY

Web Development with Web2Py



I did like the exercises.

Office for National Statistics

Natural Language Processing with Python



I liked the helpful and very kind.

Natalia Machrowicz

Python Programming



We did practical exercises (the scripts we wrote can be used in our everyday work). It made the course very interesting. I also liked the way the trainer shared his knowledge. He did it in a very accessible way.

Malwina Sawa

Python Programming



* Enjoyable exercises. * Quickly moved into more advanced topics. * Trainer was friendly and easy to get on with. * Customized course for needs of team.

Matthew Lucas

Python Programming



I enjoyed the felixibility to add specific topics into the course / lessons.

Marc Ammann

Python Programming



In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

Sacha Nandlall

Python for Advanced Machine Learning



I liked the customized, in-house file processing and data analysis.

Glycom A/S

Data Analysis in Python using Pandas and Numpy



The case studies helped us understand how we can apply Python in the industry. Really appreciated the trainer's help during the exercises.

Rajiv Dhingra - TCS

Python Programming



As we are PHP developers, he understood the situation and allowed us to slowly map things between. I liked the examples and the humor he added.

Soumya Tyagi - TCS

Python Programming



I enjoyed the that we have used our own data as examples.

Glycom A/S

Data Analysis in Python using Pandas and Numpy



the training is not presentation styled. We were coding with he trainer.

- Bhutan Telecom

Web Development with Django



I mostly enjoyed everything.

Thukten Dendup - Bhutan Telecom

Web Development with Django



Its a new experience, a new framework and looking forward to do something using the lesson learnt in the classes.

Jigme - Bhutan Telecom

Web Development with Django



I genuinely enjoyed the lots of labs and practices.

Vivian Feng - Destination Canada

Data Analysis with SQL, Python and Spotfire



The exercises/labs were tailored to our own organizational needs.

- Destination Canada

Data Analysis with SQL, Python and Spotfire



I generally liked the subject matter.

- Destination Canada

Data Analysis with SQL, Python and Spotfire



The trainer was sharing real word experiences, it's nice to learn from real professional.

- Fednot

Python Programming



The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.

Fahad Malalla - Tatweer Petroleum

Advanced Python



1:1 very intensive but learnt a lot.

Karen Dyke - BT

Python: Automate the Boring Stuff



I mostly enjoyed the subject.

- Proximus

Python Programming



The way the exercises were organized : all on own tempo and Antonio there to help you further.

- Proximus

Python Programming



I liked the sufficient and very detailed reading materials and examples (slides).

- HC Consumer Finance Philippines, Inc.

Python Programming



I genuinely liked the na.

- HC Consumer Finance Philippines, Inc.

Python Programming



What I like the most about the training is that everything in the course outline is something that will be useful for our projects.

Joanna Marie Escueta - Aarki, Inc.

Python Programming



The overview/the recommendations

frddy de meersman - Proximus

Python Programming



Labs

- Proximus

Python Programming



The informal exchanges we had during the lectures really helped me deepen my understanding of the subject

- Explore

Deep Reinforcement Learning with Python



practice tasks

Pawel Kozikowski - GE Medical Systems Polska Sp. Zoo

Python and Spark for Big Data (PySpark)



Recap of previous day, trainer very knowledgable in answering questions

Mateusz Jaros - GE Medical Systems Polska Sp. Zoo

Python Programming



It gave me a broad overview of the possibilites

- GE Medical Systems Polska Sp. Zoo

Python Programming



really kind, good approach to trainees, helpful

- GE Medical Systems Polska Sp. Zoo

Python Programming



I like pace of the training. It was good and we were able to cover many aspects of programming language. Trainer was able to show many applications of Python in very informative way. Trainer sent to us many scripts and micro-programs for furher reference which is very useful. I like, that we started training with some technical remarks and setting up virtual environment.

Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo

Python Programming



I thought John was very knowledgeable and able to diseminate information in a very understandable way.

- Crux Product Design

Python Programming Fundamentals



John was a very friendly and knowledgeable trainer and was keen to adapt the course to our requests.

- Crux Product Design

Python Programming Fundamentals



Gaining a better understanding of object oriented programming as this is a key difference to programming in Matlab (which I am much more familiar with). The training should hopefully be very useful!

- Crux Product Design

Python Programming Fundamentals



knew his subject well

Albert JACOB - Proximus

Python Programming



The exercises combined with the experienced help of the trainer

- Proximus

Python Programming



The fact that we could practice a lot. Even though for me being a newbe the pace was to fast and explanation too few. However, probably due to the mixed knowkedge level of the students attending the class.

- Proximus

Python Programming



Trainer obviously had a great holistic understanding of programming.

- Crux Product Design

Python Programming Fundamentals



the last day. generation part

- Accenture Inc

Python for Natural Language Generation



The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.

- Accenture Inc

Python for Natural Language Generation



I enjoyed the sentinal analysis/ data science aspect of the course.

Jake Hamilton - Scottish Government

Python Programming



pace and explanations

- Centric IT Solutions Lithuania

Advanced Python



Very good approach to memorize/repeat the key topics. Very nice “warm-up” exercises.

 

Python Programming



I like that it focuses more on the how-to of the different text summarization methods

 

Text Summarization with Python







Other regions in the UAE

Consulting

Python Consulting