Meta and Stanford University researchers have developed a new metric for pruning AI datasets. The metric will enhance training scalability by following a power-law relationship where additional data samples would be required to increase the performance by a few percentage points.
The pruning techniques used at present are either inefficient or severely compute-intensive. This new pruning algorithm will require much lesser computational time and is self-sufficient.
Researchers used statistical mechanics to show that proper dataset pruning can scale the performance by an exponential-decay relationship. Exponential-decay relationships require less additional sample data to output the same performance.
Meta’s researchers started by developing a theoretical model of data pruning and determining a ‘margin’ of the training example, where “easy” indicated a large margin and “hard” meant a smaller one.
They used K-means clustering on an embedding space. The pruning metric is the distance between the dataset example and the nearest cluster centroid. The researchers observed that the best pruning results depended on the initial dataset size. They concluded that as dataset size increases, the number of datasets required for pruning would also increase to achieve significant results via exponential decay.
This is not the first time that model performance has become the focus of a research project. In 2020, OpenAI also published research based on accuracy trends of NLP models. The research also prioritized dataset sizes as a factor affecting the model performance.
Lenovo announced its new AI Innovators Program for the convenience of artificial intelligence deployment. The program will offer various independent software vendors (ISVs) and customer support for scaling in AI.
Businesses are now focusing on strategic AI solutions and technologies to unlock more significant potential and efficiencies. With Lenovo’s program, Lenovo’s innovators will deliver cognitive solutions across financial services, manufacturing, retail, and innovative city applications. These solutions enable vertical use cases like predictive maintenance, clinical maintenance, and autonomous shopping.
Scott Tease, VP and General Manager of HPC and AI at Lenovo, said that the company focuses on the “intelligent transformation to smarter technology” with more innovative infrastructure and business models. He said, “Lenovo’s partner ecosystem provides the full range of support to help businesses simplify implementation across a variety of infrastructures and deploy today’s most innovative AI software.”
Lenovo AI Innovators ecosystem has welcomed more than 30 AI ISV partners aboard, representing over US$1b in capital investment. Sunlight Technologies is one of the first global partners with Lenovo AI Innovators. They are creating industry-first AI solutions at the edge to turn data into decisions across several platforms.
Julian Chesterfield, CEO and founder of Sunlight, said, “This partnership allows Sunlight early access to Lenovo’s latest edge innovations for certification and proofs of concepts that mutually benefit our networks of partners, ISVs and enterprises.”
Lenovo’s ecosystem will be a unique one-stop destination for all enterprises leveraging industry-focused services and solutions.
Motional, a Hyundai and Aptiv joint venture, and Lyft recently started an all-electric robotaxi service now active in Las Vegas. The robotaxi service will be a prelude for a fully driverless service to be launched in 2023.
Motional is an autonomous vehicle company working autonomously driven vehicles in Las Vegas via a partnership with Lyft. During the annual Consumer Electronics Show, the joint venture began as a weeklong pilot between Aptiv and Lyft in 2018. As of now, they have completed over 1,00,000 passenger trips.
Lyft and Motional are now proceeding with the public launch of their service, making it the first time that customers can hail autonomous rides in Hyundai Ioniq 5s. However, the rides would accompany a safety driver behind the wheel for emergencies.
These robotaxis do not require potential riders to sign up for a waiting list or any non-disclosure agreement for beta-testing. The rides will be free now while the companies plan to charge it from the next operational years.
Akshay Jaising, VP of Commercialization at Motional, said, “Any Lyft rider in Las Vegas can request a Motional AV. No NDAs. No sign-ups. That’s how Motional and Lyft have operated for the past four years. We believe the best feedback is from real riders, not employees or limited participants.”
Motional also claims to have a permit to test its fully driverless vehicles, set to launch in 2023 in Nevada. The companies anticipate that they will secure appropriate licenses and permits to begin conducting commercial rides by 2023.
From September 19 to September 22, NVIDIA says it will virtually host the upcoming GTC conference, featuring a keynote address from CEO Jensen Huang and more than 200 tech sessions. However, before the most awaited event by NVIDIA, the company is already making headlines with the latest announcements in tech, especially at SIGGRAPH 2022–the largest gathering of computer graphics professionals in the world.
SIGGRAPH 2022
At SIGGRAPH 2022, NVIDIA described Universal Scene Description (USD), created by Pixar, a Disney company, as the metaverse’s equivalent of HTML in their opening presentation. NVIDIA also discussed the metaverse’s future, in which avatars would resemble browsers and provide a new level of human-machine interaction. Additionally, the company introduced the idea of neural graphics, which mainly relies on AI to produce more realistic metaverse graphics with much less effort.
NVIDIA believes that neural graphics will play an integral role in metaverse by using AI to learn from data to create powerful graphics. Integrating AI improves outcomes, automates design decisions, and offers previously unimagined potential for makers and artists. Neural graphics will revolutionize virtual environment creation, simulation, and user experience.
NVIDIA acknowledges that a professional artist must balance photorealism and detail against time constraints and financial constraints when creating 3D objects for use in creating scenes for video games, virtual worlds (including the metaverse), product design, or visual effects. They must balance photorealism and detail against time constraints and financial constraints.
Based on these concerns, the company published new research and a comprehensive set of tools that use the power of neural graphics to create and animate 3D objects and environments in order to streamline and accelerate this process. In this article, we will discuss some of the groundbreaking product announcements from NVIDIA.
Holographic Glasses
One of the major problems with virtual reality (VR) experiences—bulky headsets—was addressed in a recent study report by Stanford University and NVIDIA researchers. They demonstrated how these headsets might be thinned down to the thickness of a pair of ordinary-looking spectacles. It is based on the idea of pancake lenses, which were made possible with NVIDIA’s assistance so they could be used with three-dimensional (3D) pictures. In a joint effort with the Stanford team, NVIDIA was also successful in reducing the distance between the lens and the display. The latter was accomplished using a phase-only spatial light modulator (SLM) that creates a small image behind the device and is illuminated by a coherent light source.
It is a holographic near-eye display device known as Holographic Glasses that uses a pupil-replicating waveguide, a spatial light modulator, and a geometric phase lens to produce holographic pictures in a thin and light design. The suggested concept uses a 2.5 mm thick optical stack to deliver full-color 3D holographic pictures. The researchers introduced a brand-new pupil-high-order gradient descent approach to calculate the right phase when the user’s pupil size varies. The prototype for a wearable pair of binoculars supports 3D focus cues and offers a diagonal field of vision of 22.8° with a 2.3 mm static eye box and the option of a dynamic eye box with beam steering, all while weighing only 60 g without the driving board.
NeuralVDB
At SIGGRAPH 2022, NVIDIA launched NeuralVDB in an effort to condense neural representations and significantly reduce memory footprint to enable higher-resolution 3D data.
By utilizing recent developments in machine learning, NeuralVDB improves on an established industry standard for effective storage of sparse volumetric data, or VDB. While preserving flexibility and only incurring a limited number of (user-controlled) compression errors, this revolutionary hybrid data structure drastically reduces the memory footprints of VDB volumes.
According to NVIDIA, NeuralVDB will introduce AI capability to OpenVDB, the industry-standard framework for modeling and displaying sparse volumetric data such as water, fire, smoke, and clouds. Building on this foundation, NVIDIA released GPU-accelerated processing with NanoVDB last year for much-increased performance. With the addition of machine learning, NeuralVDB expands on NanoVDB’s GPU acceleration by introducing compact neural representations that significantly lower its memory footprint. This makes it possible to express 3D data at a considerably greater resolution and scale than OpenVDB. Users are now able to manage large volumetric information with ease on devices like laptops and individual workstations.
In a nutshell, NeuralVDB inherits all of its predecessors’ features and optimizations while introducing a structure of compact neural representations that decreases memory footprints by up to 100x.
In addition, NeuralVDB permits the use of a frame’s weights for the following one, accelerating training by up to 2x. By leveraging the network findings from the preceding frame, NeuralVDB also allows users to achieve temporal coherency, or smooth encoding.
For experts working in fields like scientific computing and visualization, medical imaging, rocket science, and visual effects, the launch of NeuralVDB at SIGGRAPH is a game-changer. NeuralVDB can open up new possibilities for scientific and industrial use cases by achieving the perfect mix of significantly lowering memory requirements, speeding up training, and enabling temporal coherency, including large-scale digital twin simulations and massive, complex volume datasets for AI-enabled medical imaging.
Kaolin Wisp
NVIDIA Kaolin Wisp is a PyTorch library that uses NVIDIA Kaolin Core to interact with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD). By cutting the time needed to test and deploy new approaches from weeks to days, it enables faster 3D deep learning research.
NVIDIA shares that Kaolin Wisp seeks to provide a set of common utility functions for doing neural field research. This comprises utility functions for rays, mesh processing, datasets, and image I/O. Wisp also includes building pieces for creating sophisticated neural networks, such as differentiable renderers and differentiable data structures (such octrees, hash grids, and triplanar features). Additionally, it has interactive rendering and training, logging, trainer modules, and debugging visualization tools.
NVIDIA founder and CEO Jensen Huang stated at SIGGRAPH 2022 that the metaverse, the next chapter of the internet, will be propelled by the fusion of artificial intelligence and computer graphics. Metaverse will also be populated by one of the most popular forms of robots: digital human avatars. These avatars will work in virtual workplaces, participate in online games, and offer customer support to online retailers.
Such digital avatars need to be developed with millisecond precision in natural language processing, computer vision, complicated face and body motions, and other areas. With the Omniverse Avatar Cloud Engine, NVIDIA hopes to streamline and expedite this process.
The Omniverse Avatar Cloud Engine is a brand-new set of cloud APIs, microservices, and tools for building, personalizing, and delivering apps for digital human avatars. Because ACE is based on NVIDIA’s Unified Compute Framework, developers can easily include key NVIDIA AI capabilities into their avatar applications. Additionally, Omniverse ACE enables you to create and flexibly deploy your Avatar to meet your demands, regardless of whether you have real-time or offline requirements.
Developers could employ Avatar Cloud Engine to bring their avatars to life by leveraging powerful software tools and APIs such as NVIDIA Riva for generating speech AI applications, NVIDIA Merlin for high-performance recommender systems, NVIDIA Metropolis for computer vision and advanced video analytics, and NVIDIA NeMo Megatron for natural language understanding. They can also use the Omniverse ACE platform to create intelligent AI-service agents with Project Tokkio. With the help of Project Tokkio, an application created with Omniverse ACE, retail establishments, quick-service eateries, as well as the web will all benefit from AI-powered customer service.
GauGAN360
To create 8K, 360-degree settings that can be imported into Omniverse scenes, Nvidia has introduced GauGAN360, a new experimental online art tool. The software, which uses the same technology as Nvidia’s original GauGAN AI painting software, enables users to paint an overall landscape, and GauGAN360 will produce a cube map or an equirectangular image that corresponds the sketch.
Omniverse Audio2Face
It is an artificial intelligence software that creates expressive face animation from a single audio source. Audio2Face can be used to create standard facial animations as well as interactive real-time applications and retarget to any 3D human or human-esque face, whether realistic or stylized.
According to NVIDIA, getting started is easy since Audio2Face comes prepackaged with “Digital Mark,” a 3D character model that can be animated with your audio file. All you have to do is choose your music and upload it. The output of the pre-trained Deep Neural Network is then fed into the 3D vertices of your character’s mesh to control the face movement in real-time. Additionally, you can change several post-processing factors to alter how your character behaves.
TAO Toolkit
NVIDIA also released TAO Toolkit at SIGGRAPH, a framework that enables developers to build an accurate, high-performance pose estimate model. This model can assess what a person could be doing in a picture using computer vision considerably more quickly than existing approaches. By abstracting away the complexity of the AI/deep learning framework, this low-code variant of the NVIDIA TAO framework speeds up the model training process with Jupyter notebooks. You can use the TAO Toolkit to optimize inference and fine-tune NVIDIA pre-trained models with your own data without having any prior AI knowledge or access to a large training dataset.
Developers can use TAO Toolkit to deploy optimized models using NVIDIA DeepStream for vision AI, Riva for speech AI, and Triton Inference Server. They can also deploy it in a modern cloud-native infrastructure on Kubernetes and integrate it in their application of choice with REST APIs.
Instant Neural Graphics Primitives: NVIDIA Instant Neural Graphics Primitives is a revolutionary technique to capture the form of real-world objects that serves as the basis for NVIDIA Instant NeRF, an inverse rendering model that converts a collection of still photos into a digital 3D scene. For its significance to the future of computer graphics research, the research that formed the basis of Instant NeRF was honored at SIGGRAPH as the best paper.
Other Key Annoucements
NVIDIA Jetson AGX Orin
On August 3rd, 2022, NVIDIA announced the NVIDIA Jetson AGX Orin 32GB production modules. The Jetson AGX Orin 32GB combines an 8-core Arm-based CPU with an Ampere-based GPU to allow AI acceleration in embedded systems, edge AI deployments, and robotics. The device, which has 64GB of flash storage and 32GB of RAM, is just marginally bigger than a Raspberry Pi.
The Jetson AGX Orin 32GB unit that was unveiled earlier this year, can perform 200 trillion operations per second (TOPS). Its production module will have a 1792-core GPU with 45 Tensor Cores and will include an array of connectivity options such as 10Gb Ethernet, 8K display, and PCIe 4.0 lanes. According to NVIDIA, the 64GB version will be available in November and a pair of comparatively powerful Jetson Orin NX production modules are coming later this year.
The Jetson AGX Orin developer kit enables several concurrent AI application pipelines with its NVIDIA Ampere architecture GPU, next-generation deep learning and vision accelerators, high-speed I/O, and quick memory bandwidth. Customers can create solutions employing the biggest and most intricate AI models with Jetson AGX Orin to address issues like natural language comprehension, 3D vision, and multi-sensor fusion.
In addition to JetPack SDK, which incorporates the NVIDIA CUDA-X accelerated stack, Jetson Orin supports a variety of NVIDIA platforms and frameworks, including Riva for natural language understanding, Isaac for robotics, TAO Toolkit to speed up model development with pre-trained models, DeepStream for computer vision, and Metropolis, an application framework, collection of developer tools, and partner ecosystem that combines visual data and AI to increase operational efficiency and safe operations.
By modeling any Jetson Orin-based production module on the Jetson AGX Orin developer kit first, customers can market their next-generation cutting-edge AI and robotics solutions considerably more quickly.
Omniverse Extensions
Antonio Serrano-Muoz, a Ph.D. student in applied robotics at Mondragon University in northern Spain, developed an Omniverse Extension to use the Robot Operating System application with NVIDIA Isaac Sim. Omniverse Extensions are fundamental building blocks that anybody may use to develop and expand the functionality of Omniverse Apps to suit their unique workflow requirements with just a few lines of Python code.
One of the six open-source, GitHub-accessible Omniverse Extensions developed by Serrano-Muoz expands the capabilities of NVIDIA Isaac Sim, an application framework powered by Omniverse that allows users to build photorealistic, physically correct virtual worlds to design, test, and train AI robots.
Antonio also built a digital twin of the robotics prototype lab at Mondragon University and robot simulations for industrial use cases using NVIDIA Omniverse.
After receiving scrutiny from various technology giants and privacy advocates, the Indian Government has withdrawn the Personal Data Protection bill that could hamper sensitive information handling by the firms and grant access to the government.
The bill was unveiled in 2019 by the Ministry of Electronics and Information Technology to protect the personal data of individuals and enterprises. The bill sought to empower individuals with data rights, but it does not specify how much power they have over it. The bill also mandated that individuals and enterprises only store certain information that is “critical.”
Lawmakers indicated that the bill could now see the “light of the day” soon. However, the bill received enormous recommendations and amendments from a panel of experts. The scrutiny identified several issues relevant to the bill but “beyond the scope of a digital privacy law.”
Ashwini Vaishnaw, IT Minister, said in a statement, “The Personal Data Protection Bill, 2019 was deliberated in great detail by the Joint Committee of Parliament 81 amendments were proposed and 12 recommendations were made toward comprehensive legal framework on digital ecosystem.”
Many industry stakeholders like Internet Freedom Foundation, an advocacy group, said that the bill exempts government departments and prioritizes big corporations while disrespecting the fundamental right to privacy. Tech giants like Google, Amazon, and Meta also expressed their concerns regarding some of the recommendations on the proposed bill.
Reddit has introduced a new method to accept cryptocurrency payments using Community Points. The platform has partnered with a popular crypto exchange, FTX, to introduce new crypto-enabled benefits for Reddit Community Points.
Reddit Community Points are considered as a measure of reputation in communities of users. They are displayed next to usernames in subreddits to make the most prominent community contributors stand out from the crowd. Community Points are present on the Arbitrum Nova blockchain. This allows users to take their reputation anywhere they are recognized on the Internet.
The integration of Reddit with FTX Pay will allow users to buy Ether cryptocurrency from supported Reddit apps. The crypto can then be used to pay blockchain networks the fees for their on-chain Community Points transactions.
Community Points will allow people to create Special Memberships in the community that users can purchase with points. Special Memberships unlock multiple features. Users will also be able to tip someone for commenting or posting. Community Points can also be sent to Redditors with a crypto Vault.
Further, users will be able to run weighted polls to make big decisions in their community, add animated Emoji, and embed GIFs. The polls will give a more significant voice to people who have contributed extensively to the community. The more Community Points someone has, the more weight their vote will carry.
Artificial intelligence (AI) systems to prevent elephant deaths from train collisions will soon be installed by the forest department of Tamil Nadu at the Madhukkarai and Walayar train tracks in Coimbatore. Reputable companies have already bid on installing AI systems in wildlife settings.
The two railway lines passing through the Madukkarai forest range between Madhukkarai and Walayar have been hotspots for elephant crossing and mishaps due to their collisions with speeding trains.
The artificial intelligence system in the area will warn the officials about elephant crossings. First, the problem areas would be divided into three zones. The red zone will be the first 50m area from the center to the track. The following 50m will be identified as the orange zone, and a further 50m will be the yellow zone. A luminous alert and an acoustic alert (hooter) will be installed in the console room and at all sensor towers.
If an elephant enters the yellow zone, an alert will be generated in the console room and passed on to the forest watchers. If the elephant crosses the orange zone, alerts will be sent to forest watchers, guards, railway station master, and forest range officers.
In circumstances where the elephant enters the red zone, emergency alerts will be sent to the divisional engineers of railways and district forest officials, who will intimate the loco pilot. Details of the elephant’s location and distance from the track will be conveyed to the loco pilot in advance to take the appropriate action.
Hyundai Motor has announced it will spend $424 million to build artificial intelligence (AI) research center in the US. The center aims to bolster the company’s edge in robotics technology.
Hyundai’s three key auto affiliates, viz. Hyundai Mobis, Kia, and Hyundai Motor will invest $127.1 million, $84.7 million, and $211.9 million, respectively, for the AI center. The center will be located in Boston.
The company will invest its resources across the technical areas of athletic AI, cognitive AI, and organic hardware design. According to the company, each of these disciplines will contribute to the progress in advanced machine capabilities.
The AI center is tentatively named as the Boston Dynamics AI Institute. It will be headed by Marc Raibert, former chief and founder of Boston Dynamics, which is a US-based robotics company Hyundai acquired last year.
Chairman of Hyundai Motor, Euisun Chung, has been investing heavily in developing automotive software and related mobility technologies. This includes Software Defined Vehicles (SDVs), which is a concept that the software capability of the vehicle will define the quality of the car and driving.
Hyundai said it would also establish a new software center in South Korea to accelerate expansion into electrification, self-driving, and other advanced auto technologies. As part of the plan, Hyundai has recently acquired a Seoul-based autonomous driving software and mobility platform startup, 42dot, for $211.1 million.
TikTok has rolled a new in-app text-to-image AI generator called AI Greenscreen that lets users type in a prompt and receive an image that can be used as the background in their videos. The effect can be accessed through TikTok’s camera screen.
The launch of the new filter comes after the launch of increasingly popular OpenAI’s DALL-E 2. However, TikTok’s AI generator is quite basic compared to the output from popular text-to-image models, including Google’s Imagen and DALL-E 2. AI Greenscreen produces abstract imagery, whereas Imagen and DALL-E 2 can create photorealistic imagery.
TikTok has a range of suggested prompts that come up when the user selects the effect. Some of them are: Hidden village in the mountains, Erupting rainbow volcano, and Snorkeling in a purple ocean. These prompts visualize TikTok’s focus on abstract imagery for its AI generator. Users can play around with their own prompts to get similar abstract imagery.
Currently, the filter is being used for a few popular TikTok trends, including one where the user enters their name into the generator to see what their aesthetic looks like. Another trend includes users entering their birthdays into the generator.
Since the new text-to-image AI generator is available to millions of users, it has some limitations considering the community guidelines. The company is positioning it as a fun way to create backgrounds for TikTok videos, as it is a helpful tool for creators. Since DALL-E 2 and Imagen are not widely available, TikTok’s new effect offers an alternative for users who need to utilize the text-to-image AI generators.
Cyberattacks are one of the most significant issues affecting businesses and customers. It has degraded the computer systems in organizations by increasing malware attacks, frauds, data theft, and more. Due to the explosion in online crime and cyberattacks, people are developing an interest in protecting their systems and businesses by learning different cybersecurity methods. If you want to uplift your cybersecurity knowledge or secure your organization by educating your employees in cybersecurity, this article will help you. This article gives you a list of freely available cybersecurity courses that will help you build a career in cybersecurity.
Introduction to Cybersecurity Tools and Cyberattacks: Coursera
Offered by IBM Security Learning Services, the Introduction of Cybersecurity Tools and Cyberattacks course on Coursera gives you the background required to understand the basics of cybersecurity. This course also guides you on the history of cybersecurity and the types and motives of cyberattacks. It also teaches you the key terminologies, basic concepts, and tools that will be examined in cybersecurity.
This course teaches you the terminologies such as firewalls, antivirus, cryptography, penetration testing, and digital forensics. This course lasts for 20 hrs, where you can give 5 to 6 hrs per week. After completing this course, you can take the specialization programs like IT Fundamentals for Cybersecurity specialization and IBM Cybersecurity Analyst Professional Certificate.
Introduction to Information Security: Great Learning
Great Learning Academy offers the Introduction to Information security course to teach you about the fundamentals of computer security and the attacks that affect your systems. This course starts with briefing the attacker’s lifecycle and explaining different case studies on well-known companies, attack types, causes, and the ways to prevent attacks. This course also guides you on breaches like target breaches and password breaches.
As this course is for beginners, you do not need to have any previous knowledge of cybersecurity. After completing this course successfully, you can enroll in the more advanced cybersecurity courses and begin your career in cybersecurity. This course’s duration is 1.5 hrs and has more than 92705 enrollments.
Offered by the University of Washington, Introduction to cybersecurity is another introductory course on edX for learning the basics of cybersecurity This course is ideal for learners curious about the world of internet security. It also teaches you to identify and differentiate the threat actors and their motivations.
This course lasts for 6 weeks, where you can give 2 to 4 hrs per week. After completing this course, you can gain the cybersecurity landscape’s national (USA) and international perspectives. After completing this course, you can also enroll in the professional certification program ‘Essentials of Cybersecurity.’
Building a Cybersecurity Toolkit is another introductory course in cybersecurity offered by the University of Washington on edX. This course allows you to learn and develop skills and characteristics that expand your cybersecurity knowledge. This course also guides you on identifying tools and skills necessary for the Professional cybersecurity toolkit.
This course is instructed by David Aucsmith, the Senior Principal Research Scientist in the Applied Physics lab at the University of Washington. With this course, you can match appropriate tools for different cybersecurity management purposes.
The course duration is 6 weeks where you can give 2 to 5 hrs per week. There are no prerequisites for this course, so someone curious and interested in cybersecurity can enroll.
Introduction to Cybersecurity for Businesses: Coursera
Offered by the University of Colorado on Coursera, the Introduction to Cybersecurity course for businesses was developed to provide you with the practical aspects of cybersecurity. This course teaches you cybersecurity so that anybody can understand it easily. It is a beginner-level course that guides you on how businesses secure their networks.
The syllabi of this course include practical computer security, the CIA Triad, cryptography, digital encryption, and more. This course has an excellent rating of 4.7 and has enrollments of more than 39,206 students. This course is approximately 5 months and does not require prior knowledge.
Introduction to Cybersecurity is another introductory cybersecurity course for beginners offered by Uttarakhand Open University, Haldwani, and IGNOU via Swayam on Class Central. This course is a foundation for cybersecurity specialization for all Indian Universities.
The course syllabus consists of video lectures that experts design. You can download the video lectures and study materials at your own pace. After completing the course’s syllabus, you can ask doubts to the instructor, who is available online. After completing the course, students must undergo an online certification examination. The course’s duration is 12 weeks, where you will study a new section every week.
Introduction to CISSP Security Assessment, Testing, and Security Operations: Simplilearn
Skillup offers an introductory course,’ Introduction to CISSP Security Assessment, Testing and Security Operations’ on cybersecurity, that teaches you to develop a comprehensive understanding of security assessment, testing, and security operations. It also guides you through Penetration testing, recovery and backup, assets and malware management, log management, and transactions.
This course has an excellent rating of 4.7 and has more than 3154 enrollments. After completing this course successfully, you can clearly understand the keys, components, tools, and methods of CISSP domain 6 and CISSP domain 7. The duration of this course is 4 hrs that, consists of 2 lessons and sub-topics. You can enroll for this course with a free trial account of Simplilearn in 90 days. But after 90 days you need to pay for this course.
The cybersecurity course offered by CEC via Swayam on Class Central teaches you all the essential aspects of cybersecurity. This course is for postgraduate students, working professionals, and those interested in cybersecurity. After completing this course, you will learn all the essential aspects of cybersecurity, including cyberlaw. It also gives you an overall overview of the legal implications of cyber crimes, scams, and fraud.
The duration of this course is 15 weeks, which teaches a new topic every week. With an excellent rating of 2.4k, you do not need to have any prerequisites. However, you must have the basic computer knowledge to understand the basic terminologies and concepts in the course quickly.
Cybersecurity Tools, Techniques, and Counter Measures: Class Central
Created by IGNOU and Dr. Babasaheb Ambedkar Open University on Class Central, the cybersecurity Tools, Techniques, and Counter Measure course is another introductory course that helps you understand the cybersecurity landscapes theoretically and practically.
This course provides cybersecurity awareness and training that increases the chances of catching a scam or attack. This helps to minimize the damage to the resources and ensure the protection of the information. After completing this course, you can have a lot of career opportunities in cybersecurity sectors such as Cybersecurity Analysts, Network/Application Security Analysts, Security Automation, Cybersecurity Practitioners, Cyber Defense analysts, Penetration Testers, and more.
This course also teaches you to safeguard the confidentiality, integrity, and availability of the information in the computer systems. It also guides you through the topics like network security, cryptography, risk management, physical security, architecture, and more. This course’s duration is 12 weeks, consisting of different topics and sub-topics weekly.
(ISC)² Education and training offer the Systems and Application Security course on Coursera, enabling you to learn and understand computer code that can be malicious. This course also guides you on technical and non-technical attacks in your systems. It teaches you how to protect your systems from different cyberattacks.
This course gives you an overview of topics such as endpoint device security, securing extensive data systems, cloud infrastructure security, and securing virtual environments. The duration of this course is of 17 hrs approximately, where you need to give 3 to 5 hrs per week. It is a beginner-level course and has a good rating of 4.8.
Offered by Great learning Academy, the Introduction to Cybersecurity course will introduce you to the world of cybersecurity. It also guides you on different forms of cyberattacks and how to develop a security system and cryptography. This course teaches you the basic concepts of cybersecurity, such as cyber threats, vulnerabilities, and attacks on systems, networks, and data.
This course encourages you to learn the design of the security systems, essential concepts in cybersecurity, types of cryptography, attacks of cryptography, and different case studies of cybersecurity. It is ideal for anyone interested in cybersecurity. After completing this course successfully, you get the certificate you can share on your resume or social media. The duration of this course is 2.5 hrs, consisting of 19 sections.
