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Machine Learning on Raspberry Pi with Tensorflow

Tensorflow is a popular Artificial Intelligence framework for building Deep Neural Network (DNN) and Convolutional Neural Network (CNN) for computer vision. Raspberry Pi is a popular credit card size computer with Linux based operating system and can be mounted with camera. The application of Tensorflow on Raspberry Pi has produced a suite of machine learning and computer vision applications on Raspberry Pi. This course will go through step by step on installing Tensorflow on Raspberry Pi and how to implement machine learning and deep learning algorithms on Raspberry Pi

Topics include:

  • Install Tensorflow on Raspberry PI
  • Machine Learning on Raspberry Pi
  • Deep Learning on Raspberry Pi
  • Computer Vision 
  • Transfer Learning

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M623

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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Module 1 Get Started

  • Overview of Tensorflow and Raspberry Pi
  • Install TensorFlow on Raspberry Pi

Module 2 Machine Learning on Raspberry Pi

  • Basic Tensorflow Operations
  • Machine Learning with Tensorflow
  • Upload  ML Model to Raspberry Pi

Module 3 Deep Learning Network on Raspberry PI

  • Deep Neural Network with Tensorflow
  • Upload DNN Model to Raspberry Pi

Module 4 CNN Computer Vision on Raspberry PI

  • Convolutional Neural Network (CNN) with Tensorflow
  • Upload CNN Model to Raspberry PI
  • Computer VIsion with Raspberry Pi Camera

Module 5 Transfer Learning

  • Introduction to VGG16 and Inception Transfer Learning Models
  • Commputer Vision using Transfer Learning on Raspberry Pi
  • Fine Tuning  Transfer Leaning with Raspberry Pi

Who Should Attend

  • Engineers
  • Computer Vision Engineers
  • Scientists


Basic knowledge of Python and Raspberry Pi are assumed.


Tensorflow Machine Learning TrainerDr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Tensorflow Machine Learning TrainerAmir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator and

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

After the realization set in that, I do not want to make it as an electronic engineer, I took the decision to go and try something new out of pure curiosity and thirst for new adventure. It didn't come quite handy but I have changed my major three times. It's not a surprise that I studied artificial intelligence and found myself all over again. I have a strong passion for machine learning and data science, fueled by the drive to learn and the endurance for growth beyond the ordinary.

Deep Learning with Tensorflow TrainerFares Hasan has a strong passion for machine learning and data science, fueled by the drive to learn and the endurance for growth beyond the ordinary. He has worked on various projects that inspired him. His work with medical imaging in diagnosing tuberculosis using chest x-ray images has given him a purpose and clarity of the quality of life we could achieve from developing artificial intelligence technologies. His next mission is to further his research in this field for there he could contribute by an ounce for the betterment of humanity.

He is also focused on contributing to various initiatives workshops and meetups to spread the knowledge of artificial intelligence and machine learning in support of the democratization of Ai efforts. He is given the main segment in DevCon initiative by MAGIC (Malaysian Global Innovation Center) in the machine learning chapter.

Tensorflow Machine Learning TrainerJatin Solanki has over 10 years of experience in advanced analytics, business intelligence & corporate strategy. He has worked in insurance, eCommerce (internet), Travel, Consulting & FMCG. He is well-versed in R, SPSS, PSPP, Python, SAS enterprise miner, Knime, Matlab, Rapidminer, Google analytics, Adobe marketing cloud, Database knowledge: mySQL, SQL, Postgres, Mongodb Business intelligence knowledge: Tableau, Qlikview, Cognos. He has expertise in Web analytics, Management finance reporting, Financial modelling.

Python Scikit TrainerJack Goh is a machine learning engineer at Coqnitics, Kuala Lumpur Malaysia. His job scope included research and development in computer vision recognition using ML/DL object detection and classification models. He has experience in using Django, PHP, CSS, HTML and JavaScript.

Tensorflow MachineLearning TrainerSyed Muhammad Farrukh Akhtar has more than 15 years of experience analysis, designing, developing, integrating and managing large applications for diverse industries. He has experience working in Dubai, Pakistan, Germany and Malaysia, strong hands-on experience of software design, development and integration on different platform like IBM J2EE, Oracle and Microsoft .Net, Big data, Hadoop, Spark, HBase, Hive, Sqoop, Flume and NoSQL. He also has expertise in Machine Learning/ Deep Learning with Tensor Flow, Keras and Python, excellent skills in React, Ionic 2, Angular 2, Mobile Apps with React Native and Node.js.

He is highly knowledgeable in object oriented software development, requirements analysis, and database design. Possess deep understanding of Open Source technologies’ applicability in emerging business areas. He possesses excellent knowledge in Rational Unified Process (RUP); Rational Software Architect; data modeling and mapping; and extensible system design using the UML and Visio. Professional experience on J2EE, JMS, Web Sphere, Oracle, Spring, Hibernate, Struts and 3-Tier Web-based Applications Development.

TensorFlow TrainerDr. Nouar Dah is an experienced Lab Instructor at YPU. He has experience has a software engineer and senior hardware engineer. He has a PhD in Mechatronics Engineering from IIUM. He is well-versed in microcontrollers, FPGA, Matlab and VHDL.

Tensorflow Machine Learning  TrainerSultan Maideen has over 8 years of experience in Business Intelligence with Predictive Analytics and Data Visualization. His colleagues regard him as a self-motivated thought leader in building governed self-service BI/Analytical models in Tableau, QlikView, MicroStrategy, and Power BI.

He specializes in enhancing the quality of business strategy and helping companies improve top-line & bottom-line by devising creative solutions & managing stakeholders’ expectations successfully.

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