Mastering Edge AI and Edge Computer Vision: Unveiling the Future of Intelligent Devices
In an era where data-driven decision-making is the norm, the importance of artificial intelligence (AI) and computer vision cannot be overstated. The ability to process and interpret visual information has transformed industries, ranging from healthcare and automotive to manufacturing and agriculture. And while cloud-based AI has been pivotal in this transformation, there's a new player in town - Edge AI and Edge Computer Vision.
In master course, we will delve into the exciting world of Edge AI and Edge Computer Vision, uncovering the key topics covered in a Master Course dedicated to these cutting-edge technologies.
Edge AI and Edge Computer Vision offer a multitude of advantages in various industries. These technologies empower real-time decision-making by processing data locally on edge devices, reducing latency and dependence on cloud connectivity. They enhance privacy and security by keeping sensitive data on-site, reducing the risk of data breaches. Edge AI enables more efficient resource utilization, as it minimizes the need for continuous high-bandwidth data transmission. In sectors like healthcare, autonomous vehicles, and manufacturing, Edge Computer Vision facilitates rapid and precise object recognition, enabling safer, more efficient operations. Moreover, these technologies enhance scalability, allowing businesses to deploy intelligent solutions across distributed environments, improving efficiency, and providing a competitive edge in today's data-driven world.
The Master Course in Edge AI and Edge Computer Vision offers a comprehensive education in one of the most exciting and rapidly growing fields in technology. Graduates will be equipped with the skills and knowledge needed to harness the power of edge computing, create intelligent devices, and drive innovation across industries. As the world continues its digital transformation, mastering edge AI and edge computer vision is a key to staying ahead of the curve.
In this master course, I would like to teach the 6 major topics:
1. Introduction to Edge AI and Edge Computer Vision
2. Hardware for Edge Devices
3. Edge AI Fundamentals, Edge Computer Vision Basics benefits, strategy & Challenges
4. Edge AI Software Frameworks
5. Edge AI Deployment and Case Studies
6. Emerging Trends and Future Directions
Enroll now and learn today !
Mastering Edge AI and Edge Computer Vision: Unveiling the Future of Intelligent Devices
In an era where data-driven decision-making is the norm, the importance of artificial intelligence (AI) and computer vision cannot be overstated. The ability to process and interpret visual information has transformed industries, ranging from healthcare and automotive to manufacturing and agriculture. And while cloud-based AI has been pivotal in this transformation, there's a new player in town - Edge AI and Edge Computer Vision.
In master course, we will delve into the exciting world of Edge AI and Edge Computer Vision, uncovering the key topics covered in a Master Course dedicated to these cutting-edge technologies.
Edge AI and Edge Computer Vision offer a multitude of advantages in various industries. These technologies empower real-time decision-making by processing data locally on edge devices, reducing latency and dependence on cloud connectivity. They enhance privacy and security by keeping sensitive data on-site, reducing the risk of data breaches. Edge AI enables more efficient resource utilization, as it minimizes the need for continuous high-bandwidth data transmission. In sectors like healthcare, autonomous vehicles, and manufacturing, Edge Computer Vision facilitates rapid and precise object recognition, enabling safer, more efficient operations. Moreover, these technologies enhance scalability, allowing businesses to deploy intelligent solutions across distributed environments, improving efficiency, and providing a competitive edge in today's data-driven world.
The Master Course in Edge AI and Edge Computer Vision offers a comprehensive education in one of the most exciting and rapidly growing fields in technology. Graduates will be equipped with the skills and knowledge needed to harness the power of edge computing, create intelligent devices, and drive innovation across industries. As the world continues its digital transformation, mastering edge AI and edge computer vision is a key to staying ahead of the curve.
In this master course, I would like to teach the 6 major topics:
1. Introduction to Edge AI and Edge Computer Vision
2. Hardware for Edge Devices
3. Edge AI Fundamentals, Edge Computer Vision Basics benefits, strategy & Challenges
4. Edge AI Software Frameworks
5. Edge AI Deployment and Case Studies
6. Emerging Trends and Future Directions
Enroll now and learn today !
Last Update: Oct 2023
Hi talent!
Welcome to this CSSLP 2023 Sep New syllabus, Trend Focused, Practice Test course ! This course is prepared for the best of your value and the best of your interest!
This practice test covers will a large number of CSSLP (2023 Sep) Mock Exam Questions that simulate the real-live-exam for you to learn the topics in-depth. The practice tests are crafted from topics across the 8 critical domains for the CSSLP (2023 Sep) certificate. You will not only go through a journey to acquire knowledge through practicing with the the Trend Focused questions for the CSSLP exam, you will learn all the exam skills by experiencing all different MC question formats I have especially crafted for you.
**The questions included in this course have been thoroughly analyzed with the latest trend in the CSSLP (2023 Sep) exam**
Previous CSSLP Domain Name | New CSSLP Domain Name
Domain 1: Secure Software Concepts | Domain 1: Secure Software Concepts
Domain 2: Secure Software Requirements | Domain 2: Secure Software Lifecycle Management
Domain 3: Secure Software Architecture and Design | Domain 3: Secure Software Requirements
Domain 4: Secure Software Implementation | Domain 4: Secure Software Architecture and Design
Domain 5: Secure Software Testing | Domain 5: Secure Software Implementation
Domain 6: Secure Software Lifecycle Management | Domain 6: Secure Software Testing
Domain 7: Secure Software Deployment, Operations and Maintenance | Domain 7: Secure Software Deployment, Operations, Maintenance
Domain 8: Secure Software Supply Chain | Domain 8: Secure Software Supply Chain
Major Domains | Weightings (Percentage)
Domain 1: Secure Software Concepts | 12%
Domain 2: Secure Software Lifecycle Management | 11%
Domain 3: Secure Software Requirements | 13%
Domain 4: Secure Software Architecture and Design | 15%
Domain 5: Secure Software Implementation | 14%
Domain 6: Secure Software Testing | 14%
Domain 7: Secure Software Deployment, Operations, Management | 11%
Domain 8: Secure Software Supply Chain | 10%
Total | 100%
**This practice test has been made with reference to the official guidelines and the exam weight in each domain**
Why Becoming a CSSLP – Certified Secure Software Lifecycle Professional
Earning the globally recognized CSSLP secure software development certification is a proven way to build your career and better incorporate security practices into each phase of the software development lifecycle (SDLC).
CSSLP certification recognizes leading application security skills. It shows employers and peers you have the advanced technical skills and knowledge necessary for authentication, authorization and auditing throughout the SDLC using best practices, policies and procedures established by the cybersecurity experts at ISC2.
Prove your skills, advance your career, and gain support from a community of cybersecurity leaders here to help you throughout your professional journey.
Beside doing the practice test, I would suggest you to do as much simulation test / question as you could to get your self well prepared for the exam. More practice test will be released soon. Stay tuned and Good Luck.
CSSLP Examination Information
Length of exam | 3 hours
Number of items | 125
Item format | Multiple choice
Passing grade | 700 out of 1000 points
Exam availability | English
Testing center | Pearson VUE Testing Center
Something about the new syllabus
Q: When will these changes go into effect?
The changes will begin on September 15, 2023.
Q: In what language will the refreshed CSSLP exam be available?
The refreshed CSSLP exam will be available in English only.
Are you Ready to get CSSLP ?
One more thing, Walter's career tips:
If you are pursuing your career paths in External / Internal Auditor, Tech. Risk, Cybersecurity, you should consider taking following Certifications to equip yourself and demonstrate your competency to your employers.
ISACA | ISC2 | CSA | IAPP | IIA | ACAMS |
CISA | CISSP | CCSK | CIPT | CIA | CAMS |
CISM | CCSP | | CIPP |
CRISC | SSCP | | CIPM |
CGEIT | CGRC | | CDPO |
CDPSE | CSSLP |
CCAK | CISSP-ISSAP |
COBIT | CISSP-ISSMP |
| CISSP-ISSEP |
Last Update: Oct 2023
Hi talent!
Welcome to this CSSLP 2023 Sep New syllabus, Trend Focused, Practice Test course ! This course is prepared for the best of your value and the best of your interest!
This practice test covers will a large number of CSSLP (2023 Sep) Mock Exam Questions that simulate the real-live-exam for you to learn the topics in-depth. The practice tests are crafted from topics across the 8 critical domains for the CSSLP (2023 Sep) certificate. You will not only go through a journey to acquire knowledge through practicing with the the Trend Focused questions for the CSSLP exam, you will learn all the exam skills by experiencing all different MC question formats I have especially crafted for you.
**The questions included in this course have been thoroughly analyzed with the latest trend in the CSSLP (2023 Sep) exam**
Previous CSSLP Domain Name | New CSSLP Domain Name
Domain 1: Secure Software Concepts | Domain 1: Secure Software Concepts
Domain 2: Secure Software Requirements | Domain 2: Secure Software Lifecycle Management
Domain 3: Secure Software Architecture and Design | Domain 3: Secure Software Requirements
Domain 4: Secure Software Implementation | Domain 4: Secure Software Architecture and Design
Domain 5: Secure Software Testing | Domain 5: Secure Software Implementation
Domain 6: Secure Software Lifecycle Management | Domain 6: Secure Software Testing
Domain 7: Secure Software Deployment, Operations and Maintenance | Domain 7: Secure Software Deployment, Operations, Maintenance
Domain 8: Secure Software Supply Chain | Domain 8: Secure Software Supply Chain
Major Domains | Weightings (Percentage)
Domain 1: Secure Software Concepts | 12%
Domain 2: Secure Software Lifecycle Management | 11%
Domain 3: Secure Software Requirements | 13%
Domain 4: Secure Software Architecture and Design | 15%
Domain 5: Secure Software Implementation | 14%
Domain 6: Secure Software Testing | 14%
Domain 7: Secure Software Deployment, Operations, Management | 11%
Domain 8: Secure Software Supply Chain | 10%
Total | 100%
**This practice test has been made with reference to the official guidelines and the exam weight in each domain**
Why Becoming a CSSLP – Certified Secure Software Lifecycle Professional
Earning the globally recognized CSSLP secure software development certification is a proven way to build your career and better incorporate security practices into each phase of the software development lifecycle (SDLC).
CSSLP certification recognizes leading application security skills. It shows employers and peers you have the advanced technical skills and knowledge necessary for authentication, authorization and auditing throughout the SDLC using best practices, policies and procedures established by the cybersecurity experts at ISC2.
Prove your skills, advance your career, and gain support from a community of cybersecurity leaders here to help you throughout your professional journey.
Beside doing the practice test, I would suggest you to do as much simulation test / question as you could to get your self well prepared for the exam. More practice test will be released soon. Stay tuned and Good Luck.
CSSLP Examination Information
Length of exam | 3 hours
Number of items | 125
Item format | Multiple choice
Passing grade | 700 out of 1000 points
Exam availability | English
Testing center | Pearson VUE Testing Center
Something about the new syllabus
Q: When will these changes go into effect?
The changes will begin on September 15, 2023.
Q: In what language will the refreshed CSSLP exam be available?
The refreshed CSSLP exam will be available in English only.
Are you Ready to get CSSLP ?
One more thing, Walter's career tips:
If you are pursuing your career paths in External / Internal Auditor, Tech. Risk, Cybersecurity, you should consider taking following Certifications to equip yourself and demonstrate your competency to your employers.
ISACA | ISC2 | CSA | IAPP | IIA | ACAMS |
CISA | CISSP | CCSK | CIPT | CIA | CAMS |
CISM | CCSP | | CIPP |
CRISC | SSCP | | CIPM |
CGEIT | CGRC | | CDPO |
CDPSE | CSSLP |
CCAK | CISSP-ISSAP |
COBIT | CISSP-ISSMP |
| CISSP-ISSEP |
You will learn many things in this course for learning and development with ChatGPT. In professional development, ChatGPT serves as a valuable resource for upskilling and reskilling. It can provide on-demand information and guidance on a wide range of topics, helping individuals acquire new skills or stay updated in their respective fields. The model's ability to generate contextually relevant content aids in creating targeted learning materials. ChatGPT supports collaborative learning environments. Its conversational interface allows users to simulate discussions and problem-solving scenarios, fostering teamwork and critical thinking skills. This collaborative aspect is particularly beneficial for group-based learning initiatives.
Learning and Development with ChatGPT involves leveraging the capabilities of this advanced language model to enhance various aspects of education, training, and skill acquisition. ChatGPT's versatility makes it a valuable tool for learners across diverse domains. ChatGPT facilitates interactive learning experiences. Its conversational nature allows users to engage in dynamic discussions, ask questions, and receive instant responses. This real-time interaction enhances the learning process by promoting active engagement and participation.
Despite these advantages, it's important to consider ethical considerations and potential biases in the use of ChatGPT for learning and development. Careful monitoring and oversight are necessary to ensure that the generated content aligns with educational standards and avoids reinforcing harmful biases.
ChatGPT can assist in the creation of interactive simulations and virtual training scenarios. By generating realistic and contextually rich content, the model enhances the effectiveness of training programs, allowing learners to practice skills in a simulated environment before applying them in real-world situations.
Learning and Development with ChatGPT revolutionize traditional education and training paradigms. The model's adaptability, interactivity, and versatility make it a powerful tool for personalized learning experiences, professional development, and collaborative skill-building. As the technology continues to evolve, integrating ChatGPT into educational ecosystems has the potential to democratize access to high-quality learning resources and promote continuous skill enhancement for individuals across the globe.
You will learn many things in this course for learning and development with ChatGPT. In professional development, ChatGPT serves as a valuable resource for upskilling and reskilling. It can provide on-demand information and guidance on a wide range of topics, helping individuals acquire new skills or stay updated in their respective fields. The model's ability to generate contextually relevant content aids in creating targeted learning materials. ChatGPT supports collaborative learning environments. Its conversational interface allows users to simulate discussions and problem-solving scenarios, fostering teamwork and critical thinking skills. This collaborative aspect is particularly beneficial for group-based learning initiatives.
Learning and Development with ChatGPT involves leveraging the capabilities of this advanced language model to enhance various aspects of education, training, and skill acquisition. ChatGPT's versatility makes it a valuable tool for learners across diverse domains. ChatGPT facilitates interactive learning experiences. Its conversational nature allows users to engage in dynamic discussions, ask questions, and receive instant responses. This real-time interaction enhances the learning process by promoting active engagement and participation.
Despite these advantages, it's important to consider ethical considerations and potential biases in the use of ChatGPT for learning and development. Careful monitoring and oversight are necessary to ensure that the generated content aligns with educational standards and avoids reinforcing harmful biases.
ChatGPT can assist in the creation of interactive simulations and virtual training scenarios. By generating realistic and contextually rich content, the model enhances the effectiveness of training programs, allowing learners to practice skills in a simulated environment before applying them in real-world situations.
Learning and Development with ChatGPT revolutionize traditional education and training paradigms. The model's adaptability, interactivity, and versatility make it a powerful tool for personalized learning experiences, professional development, and collaborative skill-building. As the technology continues to evolve, integrating ChatGPT into educational ecosystems has the potential to democratize access to high-quality learning resources and promote continuous skill enhancement for individuals across the globe.
Dive into the thrilling world of ethical hacking with our dynamic course, "Advanced Ethical Hacking: Mastery AI & ChatGPT - Volume 2". it's a comprehensive journey into the future of cybersecurity, where AI meets ethical hacking.
Designed to keep you at the forefront of the cybersecurity field, the course begins with advanced AI-assisted post-exploitation techniques. You'll learn how to use AI and ChatGPT to gain control over compromised systems.
From there, you'll delve into the world of privilege escalation, mastering the art of gaining higher-level permissions using advanced AI techniques. You'll also learn to master lateral movement with AI, a critical skill in navigating through networks.
Data is the ultimate prize in hacking, and we'll show you how to use advanced AI for effective data exfiltration. You'll also learn how to maintain persistence in compromised systems using generative AI, and how to evade detection using advanced AI techniques.
The course also covers AI-driven exploitation techniques, including AI-assisted fuzzing and effective reverse engineering. You'll learn to automate payload delivery and perform automated analysis using ChatGPT, empowering your ethical hacking skills with AI.
We'll delve into advanced exploit development and personalization with AI and ChatGPT, teaching you to tailor your attacks for maximum effectiveness. You'll learn to generate exploits automatically using AI, a skill that can give you a significant edge in ethical hacking.
Finally, we'll explore the future role of AI and ChatGPT in ethical hacking, discussing the potential, limitations, and pitfalls of these advanced technologies in the field of cybersecurity.
But the learning doesn't stop there. We understand that the world of cybersecurity is ever-evolving, and so is our course. We will continuously update the course materials with new topics, labs, and more, ensuring you stay ahead of the curve in this fast-paced field.
"Advanced Ethical Hacking: Mastery AI & ChatGPT - Volume 2" is more than just a course; it's your gateway to the future of ethical hacking. This course offers a unique and exciting learning experience. So why wait? Enroll today and step into the future of ethical hacking!
You'll also get:
Lifetime Access to The Course
Quick and Friendly Support in the Q&A section
Udemy Certificate of Completion
See you in the "Advanced Ethical Hacking: Mastery AI & ChatGPT - Volume 2" course!
With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.
IMPORTANT: THIS COURSE IS CREATED FOR EDUCATIONAL PURPOSES ONLY AND UNETHICAL HACKING IS CRIME. ALL THE INFORMATION LEARNED SHOULD BE USED ONLY WHEN THE HACKER IS AUTHORIZED.
Dive into the thrilling world of ethical hacking with our dynamic course, "Advanced Ethical Hacking: Mastery AI & ChatGPT - Volume 2". it's a comprehensive journey into the future of cybersecurity, where AI meets ethical hacking.
Designed to keep you at the forefront of the cybersecurity field, the course begins with advanced AI-assisted post-exploitation techniques. You'll learn how to use AI and ChatGPT to gain control over compromised systems.
From there, you'll delve into the world of privilege escalation, mastering the art of gaining higher-level permissions using advanced AI techniques. You'll also learn to master lateral movement with AI, a critical skill in navigating through networks.
Data is the ultimate prize in hacking, and we'll show you how to use advanced AI for effective data exfiltration. You'll also learn how to maintain persistence in compromised systems using generative AI, and how to evade detection using advanced AI techniques.
The course also covers AI-driven exploitation techniques, including AI-assisted fuzzing and effective reverse engineering. You'll learn to automate payload delivery and perform automated analysis using ChatGPT, empowering your ethical hacking skills with AI.
We'll delve into advanced exploit development and personalization with AI and ChatGPT, teaching you to tailor your attacks for maximum effectiveness. You'll learn to generate exploits automatically using AI, a skill that can give you a significant edge in ethical hacking.
Finally, we'll explore the future role of AI and ChatGPT in ethical hacking, discussing the potential, limitations, and pitfalls of these advanced technologies in the field of cybersecurity.
But the learning doesn't stop there. We understand that the world of cybersecurity is ever-evolving, and so is our course. We will continuously update the course materials with new topics, labs, and more, ensuring you stay ahead of the curve in this fast-paced field.
"Advanced Ethical Hacking: Mastery AI & ChatGPT - Volume 2" is more than just a course; it's your gateway to the future of ethical hacking. This course offers a unique and exciting learning experience. So why wait? Enroll today and step into the future of ethical hacking!
You'll also get:
Lifetime Access to The Course
Quick and Friendly Support in the Q&A section
Udemy Certificate of Completion
See you in the "Advanced Ethical Hacking: Mastery AI & ChatGPT - Volume 2" course!
With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.
IMPORTANT: THIS COURSE IS CREATED FOR EDUCATIONAL PURPOSES ONLY AND UNETHICAL HACKING IS CRIME. ALL THE INFORMATION LEARNED SHOULD BE USED ONLY WHEN THE HACKER IS AUTHORIZED.
Generative AI is rapidly becoming an essential concept in artificial intelligence, offering incredible capabilities to simulate creativity and content generation. Tools like ChatGPT and MidJourney are changing the way industries operate. The "Generative AI - Risk and Cybersecurity Masterclass" is a comprehensive course designed to provide a deep understanding of generative AI technologies, their security risks, and the strategies needed to manage these risks effectively.
This course covers the principles, components, and best practices for designing and deploying a security model within a Generative AI system.
What You Will Learn
Fundamental principles and components of Generative AI
Understanding the risk landscape in Generative AI and its implications
Strategies for identifying, mitigating, and managing risks in Generative AI
Unique Risks like Prompt Injections, Hallucinations, Data Poisoning etc.
Techniques and guidelines for implementing a robust security architecture within Generative AI systems
Course Outline
Introduction to Generative AI
What is Generative AI?
Why is understanding risks and security in Generative AI important?
Risks in Generative AI
Overview of the Generative AI risk landscape
Detailed analysis of potential risks and their implications
How these risks can have a real life impact
Security in Generative AI
Implementing a security framework for Generative AI systems
Key challenges to overcome
Techniques to assess and improve the security posture of a Generative AI system
Who Should Take This Course
This course is designed for individuals interested in understanding and managing the risks associated with Generative AI, including:
AI practitioners
Cybersecurity professionals
Data Scientists
IT Managers
Anyone interested in learning about Generative AI and its risks
Prerequisites
This course assumes a basic understanding of AI and cybersecurity, but no prior knowledge of Generative AI is required.
Instructor
A multi-award winning, information security leader with over 20+ years of international experience in cyber-security and IT risk management in the fin-tech industry. Winner of major industry awards such as CISO of the year, CISO top 30, CISO top 50 and Most Outstanding Security team.
Taimur's courses on Cybersecurity and AI have thousands of students from all over the world. He has also been published in leading publications like ISACA journal, CIO Magazine Middle East and published two books on AI Security and Cloud Computing ( ranked #1 new release on Amazon )
Generative AI is rapidly becoming an essential concept in artificial intelligence, offering incredible capabilities to simulate creativity and content generation. Tools like ChatGPT and MidJourney are changing the way industries operate. The "Generative AI - Risk and Cybersecurity Masterclass" is a comprehensive course designed to provide a deep understanding of generative AI technologies, their security risks, and the strategies needed to manage these risks effectively.
This course covers the principles, components, and best practices for designing and deploying a security model within a Generative AI system.
What You Will Learn
Fundamental principles and components of Generative AI
Understanding the risk landscape in Generative AI and its implications
Strategies for identifying, mitigating, and managing risks in Generative AI
Unique Risks like Prompt Injections, Hallucinations, Data Poisoning etc.
Techniques and guidelines for implementing a robust security architecture within Generative AI systems
Course Outline
Introduction to Generative AI
What is Generative AI?
Why is understanding risks and security in Generative AI important?
Risks in Generative AI
Overview of the Generative AI risk landscape
Detailed analysis of potential risks and their implications
How these risks can have a real life impact
Security in Generative AI
Implementing a security framework for Generative AI systems
Key challenges to overcome
Techniques to assess and improve the security posture of a Generative AI system
Who Should Take This Course
This course is designed for individuals interested in understanding and managing the risks associated with Generative AI, including:
AI practitioners
Cybersecurity professionals
Data Scientists
IT Managers
Anyone interested in learning about Generative AI and its risks
Prerequisites
This course assumes a basic understanding of AI and cybersecurity, but no prior knowledge of Generative AI is required.
Instructor
A multi-award winning, information security leader with over 20+ years of international experience in cyber-security and IT risk management in the fin-tech industry. Winner of major industry awards such as CISO of the year, CISO top 30, CISO top 50 and Most Outstanding Security team.
Taimur's courses on Cybersecurity and AI have thousands of students from all over the world. He has also been published in leading publications like ISACA journal, CIO Magazine Middle East and published two books on AI Security and Cloud Computing ( ranked #1 new release on Amazon )