ValleyML Fellowship Program

Course Description:

Computer Vision Course offers a detailed understanding of advanced vision AI and focuses on deep learning methods, especially convolutional neural methods.

What You Will Learn
• Understand the theory behind Computer Vision.
• Apply Machine Learning techniques to complete Computer Vision tasks.
• Learn Deep Learning techniques such as Convolutional Neural Network (CNN) and Generative Adversarial Networks (GANs).
• Hands-on practice for Image Classification and Image Synthesis.
• Develop the practical skills necessary to build Computer Vision applications.
• Build Computer Vision applications using deep learning techniques.

After the course completion, you’ll be able to build Computer Vision applications using deep learning techniques to start solving real-world problems such as Healthcare image analysis and Traffic sign classification.

Cost: There is no upfront fee. The tuition needs to be paid by sharing 12% of two-years worth of your annual income through an Income Share Agreement (ISA) if you successfully get a relevant job within 6 months from the end of the program.

Subjects:
Machine Learning, Artificial Intelligence (AI)

Course Description:

Data Science Course covers the concepts and tools you need throughout the entire data science pipeline, from extracting meaningful information to making inferences and establishing results.

What You Will Learn
• Use of the statistics and probability to analyze data.
• How to visualize data, carry out statistical analysis, make use of Exploratory data analysis (EDA), and how it powers data science.
• Inferential and Bayesian statistics for data science.
• Statistical methods as used in practical data science and Machine Learning.
• Get In-depth knowledge of Python Programming to solve any data science problem.
• Implement a production-quality contribution that adds functionality to an existing open source framework.

By completing the 9-week fellowship program, you’ll be able to start analyzing data using statistical methods and embark on a thriving career as a data scientist.

Cost: There is no upfront fee. The tuition needs to be paid by sharing 12% of two-years worth of your annual income through an Income Share Agreement (ISA) if you successfully get a relevant job within 6 months from the end of the program.

Subjects:
Python, Data Visualization, Data Science, Statistics & Probability

Course Description:

Intelligent Video Analytics Course covers deep learning techniques, state-of-art methods, and concepts to detect spatial and temporal events in videos.

What You Will Learn
• In-depth knowledge of Deep Learning techniques applied to Intelligent Video Analytics.
• Get familiar with the state-of-the-art deep learning techniques.
• Introduction to OpenCV and Apache Spark.
• Learn to deploy models using TensorRT.
• Build applications for object detection and action recognition.
• Gain practical experience with Intelligent Video Analytics projects.

After completing this 9-week fellowship program, you’ll be able to build Intelligent Video Analytics applications using deep learning techniques to start solving real-world problems such as evaluation of real-time video streams by deploying object detection and tracking networks.

Cost: There is no upfront fee. The tuition needs to be paid by sharing 12% of two-years worth of your annual income through an Income Share Agreement (ISA) if you successfully get a relevant job within 6 months from the end of the program.

Course Description:

Natural Language Processing (NLP) Course covers the concepts and techniques of deep learning needed to build cutting-edge NLP systems and to design NLP applications.

What You Will Learn
• An Overview of Natural Language Processing and Deep Learning techniques.
• Recurrent neural networks (RNN) and their variants including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU).
• Achieve in-depth knowledge about Language modeling.
• Gain In-depth understanding of Attention mechanism.
• Get Hands-on Practice for Text Classification and Machine Translation.
• Gain knowledge about Transformer from top industry experts.

By completing the 9-week fellowship program, you will be able to build NLP applications using deep learning techniques. This will mark the start of your journey to begin solving real-world problems such as language translation and question answering.

Cost: There is no upfront fee. The tuition needs to be paid by sharing 12% of two-years worth of your annual income through an Income Share Agreement (ISA) if you successfully get a relevant job within 6 months from the end of the program.

Subjects:
Apache

Course Description:

Robotics Course offers state-of-the-art knowledge about robotics, covering the AI and deep learning techniques used for the Robotics applications such as semantic segmentation and object detection.

What You Will Learn
• In-depth understanding of robotics and its applications.
• Learn Deep Learning techniques such as Convolutional Neural Network (CNN) to analyze image data.
• Introduction to ROS and Point Cloud Library (PCL).
• Get Hands-on Practice for Object Detection and Path Planning.
• Imitation Learning and Deep Reinforcement Learning.
• Deep Learning on Graphs.

After completing this 9-week fellowship program, you will be able to develop Robotics applications using deep learning techniques and begin solving real-world problems such as object detection and path planning in autonomous vehicles.

Cost: There is no upfront fee. The tuition needs to be paid by sharing 12% of two-years worth of your annual income through an Income Share Agreement (ISA) if you successfully get a relevant job within 6 months from the end of the program.

Subjects:
Artificial Intelligence (AI)

Course Description:

Security Course covers Cybersecurity and Ethical Hacking techniques, and builds a solid foundation for designing, developing, and delivering security products and applications.

What You Will Learn
• In-depth knowledge about the Fundamentals of Information Security, Data Policy, Data Ethics, and Compliance in Networking.
• How to handle Cyber Threats and what is a Cyber Defense mechanism.
• Deep knowledge and understanding of Cryptography, System Administration, and its modules.

By completing the 9-week fellowship program, you’ll be able to master Ethical Hacking and Penetration Testing Techniques, and build a solid foundation for designing, developing, and delivering security products and applications.

Cost: There is no upfront fee. The tuition needs to be paid by sharing 12% of two-years worth of your annual income through an Income Share Agreement (ISA) if you successfully get a relevant job within 6 months from the end of the program.

Subjects:
Cyber Security, Penetration Testing, Ethical Hacking, Cryptography