Centennial Tower

5F, Jl. Gatot Subroto No.24-25, RT.2/RW.2, Karet Semanggi, Kecamatan Setiabudi, Kota Jakarta Selatan, Daerah Khusus Ibukota, Jakarta Selatan, Indonesia, 12930

Grand Slipi Tower

Jl. Letjen S. Parman No.24, RT.1/RW.4, Palmerah, Kec. Palmerah, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta , Jakarta Barat, Indonesia, 11480

The City Tower

12F, Jl. M.H. Thamrin No.81, Dukuh Atas, Menteng, Kec. Menteng, Kota Jakarta Pusat, Daerah Khusus Ibukota , Jakarta Pusat, Indonesia, 10310

Explore Our Courses

Deep Learning with Keras

21 Hours
Keras is a high-level neural networks API for fast development and experimentation. It runs on top of TensorFlow, CNTK, or Theano. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to apply deep learning model to image recognition applications. By the end of this training, participants will be able to:
  • Install and configure Keras.
  • Quickly prototype deep learning models.
  • Implement a convolutional network.
  • Implement a recurrent network.
  • Execute a deep learning model on both a CPU and GPU.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about Keras, please visit: https://keras.io/
Read more...

Advanced Deep Learning with Keras and Python

14 Hours
Keras is an open source Python neural-network library for the creation of deep learning neural-networks. Keras offers an intuitive set of abstractions, simplifying the development of deep learning neural-networks and models. This instructor-led, live training (online or onsite) is aimed at software engineers who wish to develop advanced deep learning neural-networks and model using Keras and Python. By the end of this training, participants will be able to:
  • Apply deep learning with supervised or unsupervised learning methods.
  • Develop, train, and implement concurrent neural networks and recurrent neural networks.
  • Use Keras and Python to build deep learning models to solve problems involving images, text, sound, and more.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Read more...

Deep Learning for Self Driving Cars

21 Hours
Deep learning is a subfield of machine learning. It uses methods based on learning data representations and structures such as neural networks. Keras is a high-level neural networks API for fast development and experimentation. It runs on top of TensorFlow, CNTK, or Theano. This instructor-led, live training (online or onsite) is aimed at developers who wish to build a self-driving car (autonomous vehicle) using deep learning techniques. By the end of this training, participants will be able to:
  • Use Keras to build and train a convolutional neural network.
  • Use computer vision techniques to identify lanes in an autonomos driving project.
  • Train a deep learning model to differentiate traffic signs.
  • Simulate a fully autonomous car.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Read more...

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Testimonials (19)

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

It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.

Jonathan Blease
Course - Artificial Neural Networks, Machine Learning, Deep Thinking

Very flexible

Frank Ueltzhöffer
Course - Artificial Neural Networks, Machine Learning and Deep Thinking

The structure from first principles, to case studies, to application.

Margaret Webb - Department of Jobs, Regions, and Precincts
Course - Introduction to Deep Learning

The deep knowledge of the trainer about the topic.

Sebastian Görg
Course - Introduction to Deep Learning

I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient

Radek
Course - Introduction to Deep Learning

Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.

Dolby Poland Sp. z o.o.
Course - Introduction to Deep Learning

I was benefit from the passion to teach and focusing on making thing sensible.

Zaher Sharifi - GOSI
Course - Advanced Deep Learning

examples based on our data

Witold - P4 Sp. z o.o.
Course - Deep Learning for Telecom (with Python)

code examples:-)

Marcin - P4 Sp. z o.o.
Course - Deep Learning for Telecom (with Python)

I liked that the instructor had many pre-written scripts to show off many different aspects of ML and AI. I really enjoyed being able to see live demos of so many ways ML and AI is being used. Much of what we covered was cutting edge technology that is still in its early stages of development.

Matthew Pepper - Motorola Solutions
Course - Deep Learning for Telecom (with Python)

The colab notebooks we get to keep

Palmer Greer - Motorola Solutions
Course - Deep Learning for Telecom (with Python)

The clarity with which it was presented

John McLemore - Motorola Solutions
Course - Deep Learning for Telecom (with Python)

We had an overview about Machine Learning, Neural Networks, AI with practical examples.

Catalin - DB Global Technology SRL
Course - Machine Learning and Deep Learning

Last day with the AI

Ovidiu - DB Global Technology SRL
Course - Machine Learning and Deep Learning

The examples that were picked, shared with us and explained

Cristina - DB Global Technology SRL
Course - Machine Learning and Deep Learning

Coverage and depth of topics

Anirban Basu
Course - Machine Learning and Deep Learning

The training provided the right foundation that allows us to further to expand on, by showing how theory and practice go hand in hand. It actually got me more interested in the subject than I was before.

Jean-Paul van Tillo
Course - Machine Learning and Deep Learning

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

Sacha Nandlall
Course - Python for Advanced Machine Learning

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