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Sheraton Pretoria Hotel

643 Corner Stanza Bopape, Pretoria, South Africa, 0007

Situated in the eastern suburbs (Moreletapark) of Pretoria, Wingate Park Country Club offers a facility steeped in history. The grounds are blessed with old trees, flowering shrubs and a variety of birdlife. If some one is coming from taxi from airport Hotel direction: 8.7 miles N Airport shuttle service, reservation required, fee: 650 ZAR (one way) 24 Hours, 7 days a week Shuttle Phone: +27 12 4299999 Alternate transportation: Uber; fee: 190 ZAR (one way) ;on request Estimated taxi fare: 120 ZAR (one way) For driving directions: Get on R24 in Isando from Exit 46, Head southeast, Slight right onto To Parking Rd, Keep right, Slight right toward Exit 46, Keep right at the fork to continue on Exit 46, follow signs for R24/Johannesburg, Follow R24, N3 Eastern Bypass/N3 and Ben Schoeman Fwy/Pretoria Main Rd to Eeufees Rd/M7 in Groenkloof 358-Jr, Pretoria. Take exit 335 from Ben Schoeman Fwy/Pretoria Main Rd/N14, Continue onto R24, Merge onto N12/R24, Take exit 113 for N3 S/N12 toward M2/Kimberley/Germiston/Durban, Keep right at the fork, follow signs for N3 N/N1/Pretoria and merge onto N3 Eastern Bypass/N3, At the interchange 104-Buccleuch, Use the left 2 lanes to follow signs for M1 toward Johannesburg, Keep right at the fork to continue on Exit 104, follow signs for N1/Pretoria/Polokwane and merge onto Ben Schoeman Fwy/Pretoria Main Rd/N1, Keep right to continue on Ben Schoeman Fwy/Pretoria Main Rd, Continue onto Ben Schoeman Fwy/Pretoria Main Rd/N14, Use the left 2 lanes to take exit 335 for M7/Eeufees Road toward Pretoria, Take Christi

Pretoria - Brooklyn Bridge

Brooklyn Bridge Office Park, 570 Fehrsen, Pretoria, South Africa

The Brooklyn Bridge business centre occupies a three-storey modern building in the popular Brooklyn Circle office park on the outskirts of South Africa's administrative capital, Pretoria. The building in the heart of Pretoria's eastern suburbs features state-of-the-art finishes and is close to many amenities in this dynamic diplomatic area and business hub. Many embassies are to be found close to the business centre, which lies about 20 minutes by road from the central business district along the M7 or M11 and includes ample basement parking. There is also parking at the nearby Brooklyn Mall. Some of Africa's 500 best-managed companies are based in the city, including health, engineering, security and legal services sector companies.

Subcategories (5)

Stable Diffusion

Stable Diffusion
TensorFlow

TensorFlow
Neural Networks

Neural Networks
TensorFlow Lite

TensorFlow Lite
AlphaFold

AlphaFold

Explore Our Courses

Edge AI with TensorFlow Lite

 14 Hours

This instructor-led live training in Pretoria (online or onsite) targets intermediate-level developers, data scientists, and AI practitioners who want to utilise TensorFlow Lite for Edge AI applications.

By the end of this training, participants will be able to:

  • Understand the fundamentals of TensorFlow Lite and its role in Edge AI.
  • Develop and optimise AI models using TensorFlow Lite.
  • Deploy TensorFlow Lite models on various edge devices.
  • Utilise tools and techniques for model conversion and optimisation.
  • Implement practical Edge AI applications using TensorFlow Lite.
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Computer Vision with Google Colab and TensorFlow

 21 Hours

This instructor-led, live training in Pretoria (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab.

By the end of this training, participants will be able to:

  • Construct and train convolutional neural networks (CNNs) using TensorFlow.
  • Utilise Google Colab for scalable and efficient cloud-based model development.
  • Implement image preprocessing techniques for computer vision tasks.
  • Deploy computer vision models for real-world applications.
  • Apply transfer learning to enhance the performance of CNN models.
  • Visualise and interpret the results of image classification models.
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Deep Learning with TensorFlow in Google Colab

 14 Hours

This instructor-led, live training in Pretoria (online or onsite) is aimed at intermediate-level data scientists and developers who wish to understand and apply deep learning techniques using the Google Colab environment.

By the end of this training, participants will be able to:

  • Set up and navigate Google Colab for deep learning projects.
  • Understand the fundamentals of neural networks.
  • Implement deep learning models using TensorFlow.
  • Train and evaluate deep learning models.
  • Utilize advanced features of TensorFlow for deep learning.
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Deep Learning for NLU: Beyond NLP Models

 21 Hours

This instructor-led, live training in Pretoria (online or onsite) is aimed at advanced-level professionals who wish to specialise in cutting-edge deep learning techniques for NLU.

By the end of this training, participants will be able to:

  • Understand the key differences between NLU and NLP models.
  • Apply advanced deep learning techniques to NLU tasks.
  • Explore deep architectures such as transformers and attention mechanisms.
  • Leverage future trends in NLU for building sophisticated AI systems.
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Explainability in Deep Learning: Demystifying Black-Box Models

 21 Hours

Delivered as instructor-led live training in Pretoria (available online or on-site), this programme is designed for advanced professionals keen to explore state-of-the-art XAI techniques for deep learning models, with a strong emphasis on building interpretable AI systems.

Upon completion of this training, participants will be able to:

  • Grasp the challenges associated with explainability in deep learning.
  • Implement advanced XAI techniques for neural networks.
  • Interpret decisions made by deep learning models.
  • Evaluate the trade-offs between performance and transparency.
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Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

 21 Hours

This instructor-led live training in Pretoria (online or on-site) is designed for intermediate to advanced data scientists, machine learning engineers, deep learning researchers, and computer vision specialists who aim to expand their skills in deep learning for text-to-image generation.

By the end of this course, participants will be able to:

  • Understand advanced deep learning architectures and techniques for text-to-image generation.
  • Implement complex models and optimisations for high-quality image synthesis.
  • Optimise performance and scalability for large datasets and intricate models.
  • Tune hyperparameters to enhance model performance and generalisation.
  • Integrate Stable Diffusion with other deep learning frameworks and tools.
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AI-Driven Drug Discovery and Development

 21 Hours

This instructor-led, live training in Pretoria (online or onsite) is aimed at advanced-level professionals who wish to leverage AI techniques to revolutionize drug discovery and development processes.

By the end of this training, participants will be able to:

  • Understand the role of AI in drug discovery and development.
  • Apply machine learning techniques to predict molecular properties and interactions.
  • Use deep learning models for virtual screening and lead optimization.
  • Integrate AI-driven approaches into the clinical trial process.
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AlphaFold: AI-Driven Protein Structure Prediction and Interpretation

 7 Hours

This instructor-led, live training in Pretoria (online or onsite) is aimed at biologists who wish to understand how AlphaFold works and use AlphaFold models as guides in their experimental studies.

By the end of this training, participants will be able to:

  • Understand the basic principles of AlphaFold.
  • Learn how AlphaFold works.
  • Learn how to interpret AlphaFold predictions and results.
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Introduction to Large Language Models (LLMs)

 14 Hours

This instructor-led live training in Pretoria (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use Large Language Models for various natural language tasks.

By the end of this training, participants will be able to:

  • Set up a development environment that includes a popular LLM.
  • Create a basic LLM and fine-tune it on a custom dataset.
  • Use LLMs for different natural language tasks such as text summarization, question answering, text generation, and more.
  • Debug and evaluate LLMs using tools such as TensorBoard, PyTorch Lightning, and Hugging Face Datasets.
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Introduction to Stable Diffusion for Text-to-Image Generation

 21 Hours

This instructor-led, live training in (online or onsite) is aimed at data scientists, machine learning engineers, and computer vision researchers who wish to leverage Stable Diffusion to generate high-quality images for a variety of use cases.

By the end of this training, participants will be able to:

  • Understand the principles of Stable Diffusion and how it works for image generation.
  • Build and train Stable Diffusion models for image generation tasks.
  • Apply Stable Diffusion to various image generation scenarios, such as inpainting, outpainting, and image-to-image translation.
  • Optimize the performance and stability of Stable Diffusion models.
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Advanced Machine Learning with Python

 21 Hours

In this instructor-led, live training in Pretoria, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.

By the end of this training, participants will be able to:

  • Implement machine learning algorithms and techniques for solving complex problems.
  • Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
  • Push Python algorithms to their maximum potential.
  • Use libraries and packages such as NumPy and Theano.
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Applied AI from Scratch in Python

 28 Hours
This practical training in Pretoria empowers programmers to construct AI models using Python. You will gain proficiency in supervised learning, neural networks, and unsupervised techniques through the use of scikit-learn and Apache Spark. The focus is on hands-on exercises in Jupyter notebooks designed to solve real-world problems.
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Deep Reinforcement Learning with Python

 21 Hours
This instructor-led training in Pretoria covers the theoretical foundations and practical implementation of Deep Reinforcement Learning using Python. Participants will build and train DRL agents with TensorFlow or PyTorch, applying key algorithms like DQN and PPO to solve complex real-world problems.
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Artificial Intelligence (AI) Overview

 7 Hours
A foundational training in Pretoria that delves into AI fundamentals, ranging from intelligent agents to machine learning. It empowers executives and architects to evaluate emerging AI trends, integrate practical solutions, and boost business agility through automated strategies.
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Artificial Intelligence (AI) in Automotive

 14 Hours
Investigate how Machine Learning and Deep Learning are reshaping the automotive industry. This Pretoria programme outlines key concepts spanning from basic automation to autonomous decision-making, featuring neural networks and practical TensorFlow examples for real-world implementation.
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Artificial Neural Networks, Machine Learning, Deep Thinking

 21 Hours
This three-day programme focused on Pretoria delves into both the theoretical underpinnings and practical applications of Artificial Neural Networks, Machine Learning, and Deep Learning. Participants will examine various network architectures, learning mechanisms, and mathematical foundations, progressing from fundamental perceptrons to sophisticated deep learning techniques.
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Pattern Recognition

 21 Hours

This instructor-led, live training in Pretoria (online or onsite) provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.

By the end of this training, participants will be able to:

  • Apply core statistical methods to pattern recognition.
  • Use key models like neural networks and kernel methods for data analysis.
  • Implement advanced techniques for complex problem-solving.
  • Improve prediction accuracy by combining different models.
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Fundamentals of Deep Learning

 8 Hours

This instructor-led, live training in Pretoria (online or onsite) is aimed at software developers, data analysts, and technical professionals who wish to use TensorFlow 2.x and Keras to build, train, and deploy deep learning models for computer vision, natural language processing, and multimodal applications.

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Fraud Detection with Python and TensorFlow

 14 Hours

This instructor-led live training in Pretoria (available online or onsite) is targeted at data scientists who wish to employ TensorFlow to analyse potential fraud data.

By the end of this training, participants will be able to:

  • Create a fraud detection model in Python and TensorFlow.
  • Build linear regressions and linear regression models to predict fraud.
  • Develop an end-to-end AI application for analyzing fraud data.
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Matlab for Deep Learning

 14 Hours

In this instructor-led, live training, attendees will discover how to leverage Matlab to design, construct, and visualise a convolutional neural network for image recognition.

Upon completion of this training, participants will be capable of:

  • Constructing a deep learning model
  • Automating the data labelling process
  • Utilising models from Caffe and TensorFlow-Keras
  • Training data across multiple GPUs, cloud environments, or clusters

Target Audience

  • Developers
  • Engineers
  • Domain experts

Course Format

  • A blend of lectures, discussions, exercises, and extensive hands-on practice
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Deep Learning with TensorFlow 2

 21 Hours

This instructor-led live training in Pretoria (delivered online or on-site) is designed for developers and data scientists seeking to utilise TensorFlow 2.x to build sophisticated predictors, classifiers, generative models, and neural networks.

By the end of this programme, participants will have the capability to:

  • Install and configure TensorFlow 2.x effectively.
  • Comprehend the benefits TensorFlow 2.x offers over earlier versions.
  • Construct deep learning models.
  • Implement an advanced image classifier.
  • Deploy deep learning models to cloud environments, mobile applications, and IoT devices.
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Understanding Deep Neural Networks

 35 Hours
This 35-hour course in Pretoria covers deep neural network fundamentals, including CNNs, RNNs, and generative models like GANs. Participants gain hands-on experience with Theano and TensorFlow, learning to build, train, and deploy production-grade deep learning models for real-world applications.
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Testimonials (5)

Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.

Matthew Gay - Tarsus Pharmaceuticals

Course - Artificial Intelligence (AI) Overview

The training was organized and well-planned out, and I come out of it with systematized knowledge and a good look at topics we looked at

Magdalena - Samsung Electronics Polska Sp. z o.o.

Course - Deep Learning with TensorFlow 2

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts

Course - Artificial Neural Networks, Machine Learning, Deep Thinking

That it was applying real company data. Trainer had a very good approach by making trainees participate and compete

Jimena Esquivel - Zaklad Uslugowy Hakoman Andrzej Cybulski

Course - Applied AI from Scratch in Python

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

Sacha Nandlall

Course - Python for Advanced Machine Learning

Upcoming Courses

Explainability in Deep Learning: Demystifying Black-Box Models

2026-11-09 09:30
21 hours
Pretoria - Brooklyn Bridge

Deep Learning for NLU: Beyond NLP Models

2026-11-23 09:30
21 hours
Sheraton Pretoria Hotel

Advanced Machine Learning with Python

2026-12-07 09:30
21 hours
Pretoria - Brooklyn Bridge

Edge AI with TensorFlow Lite

2026-12-21 09:30
14 hours
Sheraton Pretoria Hotel

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