Course curriculum

  • 1

    Deep Learning for Robotics Hands-on Workshop

Learn from the Experts recognized by IEEE and ACM

Machine Learning and Deep Learning Boot Camp consists of 8 workshops which cover fundamentals of machine learning to the latest advances of deep learning technologies and their applications. Include access to student community groups and instructors. This is a a live and virtual version of Machine Learning and Deep Learning Boot Camp organized in collaboration with IEEE and ACM by ValleyML.

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Comprehensive Set of Materials

Attendees would have access to course materials (presentations and programming exercises as well as projects).

  • Live Virtual Classes & Colloborative Learning

    This series of Live virtual workshops are focused on explaining the foundations and intuitions of machine learning / deep learning. Registered students have access to the slides, recorded sessions after the live classes, student community rooms.

  • Programming Exercises and Projects

    This series of workshops are focused on hands-on learning with guided programming exercises and applying deep learning techniques to practical applications in Computer Vision, Natural Language Processing, Robotics, and Intelligent Video Analytics to solve real-world problems. In hands-on workshops, you can work on a project to create and deploy working applications.

  • IEEE PDH Certificate

    Receive IEEE PDH Certificate from IEEE Continuing Education. IEEE Certificates guarantee that education program meets IEEE standards, and offers some of the most relevant content that engineers need to stay ahead. IEEE Certificates will help technical professionals: • Gain a competitive advantage • Update their knowledge and skills • Build professional credibility • Earn the CEUs/PDHs they need to keep their licenses current. A not-for-profit organization, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

FAQ

  • Given that there are several free resources available on web for machine learning and deep learning, why do I need to take this course?

    While many materials are available online, it is difficult to find the right materials for your learning goal and sometimes even hard to know where to start. Some of them are unstructured and do not have the quality and rigor needed for educational program. This course offers comprehensive coverage of materials from fundamentals to advanced topics including hands-on practices for a specific application such as computer vision, natural language processing, robotics and video analytics. The whole course consists of 8 individual workshops and is organized in such a way that you can learn effectively for your goal. You have a choice to take a complete course, a course for a specific target application or an individual workshop depending on your needs.

  • What are the materials that are provided to the attendees?

    Course slides in PDF and other workshop materials are available on Thinkific platform. In addition, programming examples/exercises are also provided as Jupyter notebooks so that attendees can download from Thinkific and then run them from their browser using Google Colaboratory (a hosted Jupyter notebook environment that is free to use and requires no setup).

  • Will the attendees get IEEE Certificate for Professional Development Hours for this event?

    Yes. This event is reviewed and approved by IEEE continuing Education. Please contact us at the email from which your Eventbrite registration ticket is sent. Apollo AI, who is an approved IEEE Certificate Provider, is working with IEEE (https://www.ieee.org/education/continuing-education.html) to provide this. The quiz for each course needs to passed. A course evaluation form needs to be completed timely (within two weeks after the completion of the Boot Camp). The number of PDH hours depend on the total number of training hours attendees complete. We will send instructions to the attendees after the course on the form that need to be filled. IEEE Certificates guarantee that education program meets IEEE standards, and offers some of the most relevant content that engineers need to stay ahead. IEEE Certificates will help technical professionals: • Gain a competitive advantage • Update their knowledge and skills • Build professional credibility • Earn the CEUs/PDHs they need to keep their licenses current A not-for-profit organization, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity. Please see this https://www.ieee.org/education/certificates/ceus-faqs.html for more information on IEEE Certificates.

  • What is ValleyML.ai?

    Valley Machine Learning and Artificial Intelligence (ValleyML.ai) is the most active and important community of ML & AI Companies and Start-ups, Data Practitioners, Executives and Researchers. We have a global outreach to close to 200,000 professionals in AI and Machine Learning. The focus areas of our members are AI Robotics, AI in Enterprise and AI Hardware.ValleyML.ai bring together business leaders and applied machine learning and deep learning practitioners. We collaborate with professional organizations such as ACM, IEEE and other AI related organizations bringing a series of regularly planned events, seminars, conferences, and workshops. We plan to cover the state-of-the-art advancements in AI technology. Attendees for Valley ML “State of AI and ML”, Boot Camps and AI Expo conferences get IEEE Certificates for Professional Development Hours. AI is in its currently nascent form of Artificial Narrow Intelligence and is the third era of computing. AI is becoming omnipresent in our daily routines set to usher in Fourth Industrial Revolution with unprecedented scale of changes in how we work and live. Amplifying our human intelligence with AI has the potential of helping humanity flourish like never before, if we (humans!) correctly apply our wisdom to managing AI to keep the technology beneficial. In a series of regularly planned events, we plan to cover the state-of-the art advances in AI technology. Our current and previous sponsors include UL, MINDBODY, Inc., Ambient Scientific, SEMI, Intel, Western Digital, Texas Instruments, Google, Facebook, Cadence, Xilinx. Please see our past events at https://www.valleyml.ai/past-events

  • When are the live classes?

    Please check the PDF for detailed list of topics and description of boot camp. The direct link is bit.ly/mldlbc2020

  • What is the cancellation policy?

    Note that all the learning materials including slides, course software are available before live lessons. If you are not able to attend a live training session, you can view the recorded session. All the elearning+live training courses on the site are available on a 24 hour refund policy. After 24 hours of registration, no refunds or cancellations would be given. You can also do a free preview of some of the sections in a course.

  • What are the early registration options as well as customizated course registrations?

    The Boot Camp is available to register as a complete course (this bundle on this webpage) and as a custom package of individual workshops as shown in the table. Please see Additional Products section below. You can use coupon ValleyML40 for discount of 40% by June 1st. You can use coupon ValleyML25 for discount of 25% by July 1st. You can enter the coupon during the checkout. You can also simply add ?coupon=ValleyML40 at the end of this webpage address such as the following link https://valleyml.thinkific.com/bundles/machine-learning-and-deep-learning-boot-camp?coupon=ValleyML40 . On this page, each course as well as 5-course package is listed. Instead of signing up for full 8-course package, you can also click on any course to register as an individual course. The coupon is still the same (I.e. ValleyML40 ) and that can be entered during check out for any course or package. Please check the end of this page for all other offerings as individual courses and 5-course packages.

Target Audience

As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions. Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring machine learning engineers, data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions.

  • This workshop series will particularly benefit people who intend to develop machine learning techniques and applications that can keep improving themselves after seeing more and diverse data to achieve intelligence and/or wants to pursue a career in data science, machine learning, and artificial intelligence.

  • Engineers, researchers, practitioners and students who are interested in data science, machine learning, convolutional neural networks, recurrent neural networks, reinforcement learning and their real-time production deployment.

  • Managers and Executives: Product Managers, Program Managers, Directors, VP of Engineering, CTOs, CEOs. Learn the essential details beyond new buzzwords. These courses help you gain clear vision and understanding to solve existential business problems and delight your customers. We will cover machine learning and artificial intelligence with focus on Computer vision, Natural Language Processing, Robotics and Intelligence Video Analytics areas in detail for management and how you can build skills in this.

  • In Colloboration with IEEE and ACM. Get IEEE PDH Certificate.

Earn credentials from IEEE, world’s largest technical professional organization

Build a solid foundation of Machine Learning / Deep Learning principles and apply the techniques to real-world problems

  • Learn the theoretical details of machine learning algorithms to the latest techniques in deep learning applications

  • Create prototypes and build practical deep learning applications to solve real-world problems.

  • Receive IEEE PDH Certificate from IEEE Continuing Education.

  • IEEE Certificates guarantee that education program meets IEEE standards, and offers some of the most relevant content that engineers need to stay ahead.

  • IEEE Certificates will help technical professionals: • Gain a competitive advantage • Update their knowledge and skills • Build professional credibility • Earn the CEUs/PDHs they need to keep their licenses current.

  • A not-for-profit organization, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

IEEE Certificate

Provided as a verifiable electronic certificate and the recipient can share on LinkedIn. IEEE maintains an official registry of all certificates awarded. This makes accounting to state licensing boards an easier task for engineers.

Instructor(s)

Distinguished Engineer- Machine Learning and Computer Vision

Kiran Gunnam

Dr. Gunnam is an innovative technology leader with vision and passion who effectively connects with individuals and groups. Dr. Gunnam's breakthrough contributions are in the areas of advanced error correction systems, storage class memory systems and computer vision-based localization & navigation systems. He has helped drive organizations to become industry leaders through ground-breaking technologies. Dr. Gunnam has 75 issued patents and 100+ patent applications/invention disclosures on algorithms, architectures and real-time low-cost implementations for computing, storage and computer vision systems. He is the lead inventor/sole inventor for 90% of them. Dr. Gunnam’s patented work has been already incorporated in more than 2 billion data storage and WiFi chips and is setto continue to be incorporated in more than 500 million chips per year. Dr. Gunnam is also a key contributor to the precise localization and navigation technology commercialized for autonomous aerial refueling and space docking applications. His recent patent pending inventions on low-complexity simultaneous localization and mapping (SLAM) and 3D convolutional neural network (CNN) for object detection, tracking and classification are being commercialized for LiDAR+camera-based perception for autonomous driving and robotic systems. Dr. Gunnam received his MSEE and PhD in Computer Engineering from Texas A&M University, College Station. He is world-renowned for balance between strong analytical ability and pragmatic insight into implementation of advanced technology. He served as IEEE Distinguished Speaker and Plenary Speaker for 25+ events and international conferences and more than 3000 attendees in USA, Canada and Asia benefited from his lecture talks.

Chief Scientist, Apollo AI Inc.

Koji Seto

Dr. Seto is a Chief Scientist at Apollo AI Inc. He has a broad scientific knowledge in digital signal processing and machine learning. His recent work focuses on deep learning and invented reduced complexity convolutional neural network called ApolloPerceptionNet and developed reduced complexity object detection algorithm. He received his Ph.D. in Electrical Engineering from Santa Clara University. His work in digital signal processing, especially speech/audio coding, includes broad range from algorithm development to implementations on DSP processors. He developed a state-of-the-art speech codec system/software, which resulted in nine papers and a book chapter. He has also worked on wireless communication systems. His work in wireless communications mainly focused on the theory and algorithm, which requires deep understanding of background mathematics and computer simulation skills. Especially his internship experience at Qualcomm includes system level and link level simulation in C++ for 3GPP UMTS/WCDMA. His earlier research work in Japan relates to semiconductor materials, and he engaged in extensive simulation and experiments.

Principal Research Scientist, Apollo AI Inc.

Osso Vahabzadeh

Dr. Vahabzadeh is an expert in graph-based algorithms, detection, estimation and machine learning. His recent work focuses on the development of low-complexity object detection algorithm by utilizing pruning of deep neural networks and graph-based machine learning. He received his PhD in Electrical Engineering with a minor in Computer Engineering from Northeastern University, Boston, MA in 2014. His PhD work was on low-complexity algorithms to design graph-based codes, where the developed algorithms were based on belief propagation methods for graph-based codes. He was a recipient of Northeastern University’s Outstanding Graduate Student Award for Teaching in Life Sciences, Physical Sciences and Engineering in 2012. He joined Symbyon Systems as a Staff Design Engineer shortly after its foundation, where he has played a major role in the company’s efforts in developing graph-based belief propagation solutions for storage and communication applications. At Symbyon, he was the principle contributor to a draft Standard for IEEE Standards Association (IEEE-SA) P1890 Working Group for Error Correction of Flash Memory Using LDPC codes. The proposed proposal was selected as IEEE 1890-2018 Standard.

Why do you need to know Machine Learning and Deep Learning?

As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions. Machine learning and deep learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring machine learning engineers, deep learning engineers, data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions.

This is a training that will teach you the end-to-end process of investigating big data, computer vision, natural language processing, robotics and video analytics through a machine-learning and deep-learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning and deep learning algorithms, and how to evaluate the performance of your machine learning and deep learning algorithms. In this Boot Camp, you will learn about the most effective machine learning and deep learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical knowledge needed to quickly and powerfully apply these techniques to new problems.
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You may be interested in other Boot Camp bundles

The Boot Camp is available to register as an individual course (as listed) on this webpage) or as full package or as a custom package of individual workshops as shown in the table. Please see Additional Products section below.
Complete course and customized courses

Additional products