How I Built a Bot for Udemy That Acts as a Secondary Filter for My Courses

ASHISH AMAR | February 11, 2022 | 65 views

  Udemy is a great place to learn whatever you want. You can enroll in a few free courses as well as a few paid ones. There are tons of sites that offer the paid ones for free. How these sites work is that the instructors give the students a limited time frame and a coupon that enables them to get the course for free. So I built a small bot which would enroll in those free courses (as I was bored and just wrote some random code).
That turned out to be a mistake, as after a few days, there were a few hundred courses in my account. Now I thought, “ok, I could just filter those enrolled courses by rating and maybe check out a few top-rated courses.” But then I saw that Udemy offers only a filter by “title,” “instructor name” and so on. But not filtered by rating.
A random snippet of the source code of the bot.

Then I thought about it why not create a bot which filters the ratings and fetches me its links? Since I made a bot to collect courses, why not build one for filtering as well? Ideally this is what I did (cuz I was “jobless” and I wish I could’ve coded something useful then.
Anyway, here it is.

Link to the Code.
Link to the Demo Video



Challenges Faced while building this and how I solved them.

• Implicit wait() and explicit wait() make the driver wait for a specified number of seconds for some element to load, but do not delay the driver for that many seconds. The selenium driver would give a "NoSuchElementException" . This was solved by using time.sleep()
• 2 functions calling self.driver in the same class created 2 different driver instances, rather than linking them. (As suggested by a few posts on stack overflow). This was solved by creating a base class which initializes the driver and inherits from that class.
 

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PiTech Solutions Inc

Founded in 2006, PiTech is a technology solutions company based out of Durham,North Carolina. We have expertise in building and deploying mission-critical scalable, advanced, and business-centric: Information Management, Business Intelligence, Business Analytics and Business Process Integration services & solutions to Government Agencies and Private Sector companies…

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PiTech Solutions Inc

Founded in 2006, PiTech is a technology solutions company based out of Durham,North Carolina. We have expertise in building and deploying mission-critical scalable, advanced, and business-centric: Information Management, Business Intelligence, Business Analytics and Business Process Integration services & solutions to Government Agencies and Private Sector companies…

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The Opaque platform advancements come on the heels of Opaque announcing its $22M Series A funding, Confidential Computing – projected to be a $54B market by 2026 by the Everest Group – provides a solution using TEEs or 'enclaves' that encrypt data during computation, isolating it from access, exposure and threats. However, TEEs have historically been challenging for data scientists due to the restricted access to data, lack of tools that enable data sharing and collaborative analytics, and the highly specialized skills needed to work with data encrypted in TEEs. The Opaque Platform overcomes these challenges by providing the first multi-party confidential analytics and AI solution that makes it possible to run frictionless analytics on encrypted data within TEEs, enable secure data sharing, and for the first time, enable multiple parties to perform collaborative analytics while ensuring each party only has access to the data they own. "Traditional approaches for protecting data and managing data privacy leave data exposed and at risk when being processed by applications, analytics, and machine learning (ML) models, The Opaque Confidential AI and Analytics Platform solves this challenge by enabling data scientists and analysts to perform scalable, secure analytics and machine learning directly on encrypted data within enclaves to unlock Confidential Computing use cases." -Rishabh Poddar, Co-founder & CEO, Opaque Systems. Strict privacy regulations result in sensitive data being difficult to access and analyze, said a Data Science Leader at a top US bank. New multi-party secure analytics and computational capabilities and Privacy Enhancing Technology from Opaque Systems will significantly improve the accuracy of AI/ML/NLP models and speed insights. The Opaque Confidential AI and Analytics Platform is designed to specifically ensure that both code and data within enclaves are inaccessible to other users or processes that are collocated on the system. Organizations can encrypt their confidential data on-premises, accelerate the transition of sensitive workloads to enclaves in Confidential Computing Clouds, and analyze encrypted data while ensuring it is never unencrypted during the lifecycle of the computation. Key capabilities and advancements include: Secure, Multi-Party Collaborative Analytics – Multiple data owners can pool their encrypted data together in the cloud, and jointly analyze the collective data without compromising confidentiality. Policy enforcement capabilities ensure the data owned by each party is never exposed to other data owners. Secure Data Sharing and Data Privacy – Teams across departments and across organizations can securely share data protected in TEEs while adhering to regulatory and compliance policies. Use cases requiring confidential data sharing include financial crime, drug research, ad targeting monetization and more. Data Protection Throughout the Lifecycle – Protects all sensitive data, including PII and SHI data, using advanced encryption and secure hardware enclave technology, throughout the lifecycle of computation—from data upload, to analytics and insights. Multi-tiered Security, Policy Enforcement, and Governance – Leverages multiple layers of security, including Intel® Software Guard Extensions, secure enclaves, advanced cryptography and policy enforcement to provide defense in depth, ensuring code integrity, data, and side-channel attack protection. Scalability and Orchestration of Enclave Clusters – Provides distributed confidential data processing across managed TEE clusters and automates orchestration of clusters overcoming performance and scaling challenges and supports secure inter-enclave communication. Confidential Computing is supported by all major cloud vendors including Microsoft Azure, Google Cloud and Amazon Web Services and major chip manufacturers including Intel and AMD. About Opaque Systems: Commercializing the open source MC2 technology invented at UC Berkeley by its founders, Opaque System provides the first collaborative analytics and AI platform for Confidential Computing. Opaque uniquely enables data to be securely shared and analyzed by multiple parties while maintaining complete confidentiality and protecting data end-to-end. The Opaque Platform leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification. 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Read More

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Veritonic | December 09, 2022

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Read More

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Infleqtion | December 09, 2022

Infleqtion, the global quantum ecosystem leader, today unveiled SupercheQ: Quantum Advantage for Distributed Databases, a scientific advance that extends the power of quantum computation to new applications involving distributed data. The emergence of commercial quantum hardware has been accompanied by new approaches to benchmarking quantum computers. In addition to application-centric benchmarking approaches such as Infleqtion's SupermarQ suite, scientists have developed benchmarks based on sampling from random quantum circuits. These benchmarks, including Quantum Volume, have enabled effective cross-platform comparisons, but until now have been disconnected from specific applications of quantum computers. The launch of SupercheQ changes this by endowing these random circuit sampling experiments with their first application. "SupercheQ achieves an exponential advantage for one of the most fundamental tasks in distributed computing: checking if two files are identical. "We leveraged recent advances in quantum information theory to show that the same families of circuits behind quantum volume can be used to realize this advantage." Pranav Gokhale, Vice President of Quantum Software at Infleqtion Gokhale will present SupercheQ on December 8th at Q2B in Santa Clara. Q2B, the world's largest non-academic quantum industry conference, brings together over 1,000 attendees from commercial companies and research institutions from around the world. SupercheQ has been experimentally validated by execution on superconducting quantum hardware from IBM Quantum, which also pioneered the invention of the Quantum Volume benchmarking metric. "The development of SupercheQ is an exciting step forward that starts to connect the dots between quality as measured by Quantum Volume to applications," said Jay Gambetta, IBM Fellow and Vice President of IBM Quantum. "The experimental validation on IBM Quantum hardware demonstrates the need for reliable and available hardware to advance quantum and build this industry together." In addition to the experimental validation on quantum hardware, the team performed large-scale simulations by leveraging NVIDIA GPUs, as well as the cuQuantum software development kit. "The launch of SupercheQ expands the possibilities of the tasks and types of data that can be addressed by a quantum computer," said Tim Costa, Director of HPC and Quantum Computing Products at NVIDIA. "The team's use of NVIDIA GPUs and cuQuantum has enabled them to validate SupercheQ's practical value at the scale of future quantum computers with hundreds of qubits." SupercheQ has been integrated into SuperstaQ, Infleqtion's flagship cloud quantum software platform, and the technical details behind SupercheQ have now been released in an academic paper, "SupercheQ: Quantum Advantage for Distributed Databases." Customers can get started today with a qiskit-superstaq tutorial notebook. SupercheQ is also in a private release as a new benchmark available in the SupermarQ suite. The development of SupercheQ—which requires both quantum computers and quantum networks—originates in Infleqtion's platform approach, spanning multiple quantum technologies. "We believe that the greatest advances in quantum will arise at the intersection of quantum computing, sensing, networking, and clock technologies," said Paul Lipman, Infleqtion's President of Quantum Information Platforms. "SupercheQ is an exemplar of this approach." About Infleqtion Infleqtion is building an ecosystem of quantum technologies and commercial products for today, that will drive the company and the entire industry toward tomorrow. The company believes in taking quantum to its limit and leading from the edge. Infleqtion is built on 15 years of pioneering quantum research from ColdQuanta. Its scalable and versatile quantum technology is used by organizations around the globe and deployed by NASA on the International Space Station. Infleqtion is based in Boulder, CO, with offices in Chicago, IL; Madison, WI; Melbourne, AU and Oxford, UK.

Read More

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