This comprehensive course on AWS Certified Cloud Practitioner (CLF-C01) empowers you to fast-track your IT career. Gain in-depth knowledge of cloud computing, AWS services, and architectural concepts. With hands-on labs, quizzes, and real practice exams, you will confidently build cost-effective, fault-tolerant IT solutions on the AWS Cloud.
About the course “Quantum Computing for Finance” is an emerging multidisciplinary field of quantum physics, finance, mathematics, and computer science, in which quantum computations are applied to solve complex problems. “Quantum Algorithms for Computational Finance” is an advanced course in the emerging field of quantum computing for finance. This technical course will develop an understanding in quantum algorithms for its implementation on quantum computers. Through this course, you will learn the basics of various quantum algorithms including: Grover’s and Rudolf’s algorithm, Quantum amplitude Estimation (QAE) algorithm envisioned as a quadratic speed-up over Classical Monte-Carlo simulations, Combinatorial optimization algorithms namely Quantum Approximate Optimization Algorithm (QAOA), and Variational Quantum Eigensolver (VQE), and Quantum-inspired optimization algorithms – Simulated Coherent Ising Machine (Sim-CIM), and Simulated Bifurcation Algorithm (SBA). This course is meant for all those learners who want to explore the long-term employability of quantum computing in finance, assuming that you are familiar with the concepts of quantitative and computational finance. In addition, the course contains several Python based programming exercises for learners to practice the algorithms explained throughout the course. This course is the second part of the specialised educational series: “Quantum Computing for Finance”. What Skills you will learn Ability to perform quantum arithmetic operations and simulations. An understanding of the Quantum Amplitude Estimation algorithm and its variants. The computational and modelling techniques for option pricing and portfolio optimization on a quantum computer. The skills for a career in quantum finance including Quantum Algorithmic Research, Quantitative Asset Management and Trading, financial engineering, and risk management, using quantum computing technology. Course Prerequisites All potential learners must have prior knowledge or familiarity with basic quantum algorithms/basic quantum programming. Before enrolling this course, we recommend all learners to complete the first course “Introduction to Quantitative and Computational Finance” of the series “Quantum Computing for Finance”, if they have no previous experience with the concepts of quantitative and computational finance. Duration The estimated duration to complete this course is approximately 6 weeks (~4hrs/week). Course assessment To complete the course and earn the certification, you must pass all the quizzes at the end of each lesson by scoring 80% or more on each of them. Instructors QuantFiQuantFi is a French start-up research firm formed in 2019 with the objective of using the science of quantum computing to provide solutions to the financial services industry. With its staff of PhD's and PhD students, QuantFi engages in fundamental and applied research in in the field of quantum finance, collaborating with industrial partners and universities in seeking breakthroughs in such areas as portfolio optimisation, asset pricing, and trend detection.
Course Overview Transform into a Cloud computing expert and become a skilled technician with this training for becoming an Advanced AWS Certified Solutions Architect Associate. AWS (Amazon Web Services) is the world's most comprehensive cloud platform, providing APIs to individuals, companies, and governments. When you complete this course, you will be skilled enough to become part of this globe-spanning service and have the potential to start a career as an advanced Solutions Architect. This Cloud Computing course is the complete learning curve for students and technicians with a thirst for cloud-based computer skills. You will be taken on an amazingly comprehensive journey through the IT architecture of the platform and gain an acute understanding of it. It's all in this educational package, from IAM to EC2 and from Route53 to SQS. Enrol now and receive complete Cloud clarification for your computing skills. This best selling Advanced AWS Certified Solutions Architect Associate has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Advanced AWS Certified Solutions Architect Associate is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Advanced AWS Certified Solutions Architect Associate is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Advanced AWS Certified Solutions Architect Associate is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Advanced AWS Certified Solutions Architect Associate, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Advanced AWS Certified Solutions Architect Associate will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Advanced AWS Certified Solutions Architect Associate to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
This course covers all the key concepts that will help you prepare for and pass the AWS Certified Cloud Practitioner certification exam for the latest CLF-C01. A practical-based course where you will gain practical knowledge about AWS Cloud through videos and demo sessions.
The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.
This event is designed to teach business leaders and IT technical professionals the benefits of computing in the AWS Cloud.
Duration 1 Days 6 CPD hours This course is intended for This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud-based solutions to facilitate productivity and collaboration on-site, at home, or a combination of both.ÿCandidates may have knowledge of cloud-based solutions or may be new to Microsoft 365. Overview After completing this course, students will be able to: Describe cloud concepts Describe core Microsoft 365 services and concepts Describe security, compliance, privacy, and trust in Microsoft 365 Describe Microsoft 365 pricing and support This course introduces Microsoft 365, an integrated cloud platform that delivers industry-leading productivity apps along with intelligent cloud services, and world-class security. You?ll learn foundational knowledge on the considerations and benefits of adopting cloud services and the Software as a Service (SaaS) cloud model, with a specific focus on Microsoft 365 cloud service offerings. You will begin by learning about cloud fundamentals, including an overview of cloud computing. You will be introduced to Microsoft 365 and learn how Microsoft 365 solutions improve productivity, facilitate collaboration, and optimize communications. The course then analyzes how security, compliance, privacy, and trust are handled in Microsoft 365, and it concludes with a review of Microsoft 365 subscriptions, licenses, billing, and support. 1 - Describe cloud computing What is cloud computing Describe the shared responsibility model Define cloud models Describe the consumption-based model 2 - Describe the benefits of using cloud services Describe the benefits of high availability and scalability in the cloud Describe the benefits of reliability and predictability in the cloud Describe the benefits of security and governance in the cloud Describe the benefits of manageability in the cloud 3 - Describe cloud service types Describe Infrastructure as a Service Describe Platform as a Service Describe Software as a Service 4 - What is Microsoft 365? Describe the differences between Office 365 and Microsoft 365 Describe Windows 365 Describe how Microsoft 365 empowers workers in this hybrid world of work Explore Microsoft 365 tenant 5 - Describe productivity solutions of Microsoft 365 Describe the productivity capabilities and benefits of Microsoft 365 Describe Microsoft 365 Apps Describe work management tools in Microsoft 365 Describe additional Microsoft 365 productivity apps 6 - Describe collaboration solutions of Microsoft 365 Describe the collaboration capabilities and benefits of Microsoft 365 Describe how Microsoft Teams promotes collaboration and enhances teamwork Describe the Microsoft Viva apps Describe how Yammer helps communities connect and grow 7 - Describe endpoint modernization, management concepts, and deployment options in Microsoft 365 Describe the endpoint management capabilities of Microsoft 365 Compare the differences of Windows 365 and Azure Virtual Desktop Describe the deployment and release models for Windows-as-a-Service (WaaS) Identify deployment methods and update channels for Microsoft 365 Apps 8 - Describe analytics capabilities of Microsoft 365 Describe the capabilities of Viva Insights Describe the capabilities of the Microsoft 365 admin center and Microsoft 365 user portal Describe the reports available in the Microsoft 365 admin center and other admin centers 9 - Describe the services and identity types of Azure AD Describe Azure Active Directory Describe the available Azure AD editions Describe Azure AD identity types Describe the types of external identities Describe the concept of hybrid identity 10 - Describe the access management capabilities of Azure AD Describe Conditional Access in Azure AD Describe the benefits of Azure AD roles and role-based access control 11 - Describe threat protection with Microsoft 365 Defender Describe Microsoft 365 Defender services Describe Microsoft Defender for Office 365 Describe Microsoft Defender for Endpoint Describe Microsoft Defender for Cloud Apps Describe Microsoft Defender for Identity Describe the Microsoft 365 Defender portal 12 - Describe security capabilities of Microsoft Sentinel Describe how Microsoft Sentinel provides integrated threat management Understand Sentinel costs 13 - Describe the compliance management capabilities in Microsoft Purview Describe the Microsoft Purview compliance portal Describe Compliance Manager Describe use and benefits of compliance score 14 - Describe the Service Trust Portal and privacy at Microsoft Describe the Service Trust Portal Describe Microsoft's privacy principles Describe Microsoft Priva 15 - Describe Microsoft 365 pricing, licensing, and billing options Explore pricing models for Microsoft cloud services Explore the billing and bill management options Explore the available licensing and management options 16 - Describe support offerings for Microsoft 365 services Explore support options for Microsoft 365 services Explain service level agreement (SLAs) concepts Identify how to track the service health status Explore how organizations can share feedback on Microsoft 365 services
Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Systems Administrators and Engineers Technical Solutions Architects Systems Integrators Channel Partners Value-Added Resellers Overview Upon completing this course, the learner will be able to meet these overall objectives: Understand the B-Series and C-Series product line similarities and differences Describe the Intersight support for C-Series standalone and UCS managed architectures Describe Cisco Intersight and how it can be used to manage UCS and Hyperflex Understand the process for upgrading B-Series and C-Series Firmware with UCSM and Intersight Administering service profiles, pools, and policies with UCSM and Intersight Understanding RBAC with Active Directory integration Administering backup and restores in UCS Manager Learn and discuss the various management tools for Cisco UCS including Intersight Perform basic troubleshooting of B-Series and C-Series in normal operations with UCSM and Intersight Describe how to get started with Intersight programmability DCUCAI, Administering Cisco Data Center Unified Computing System with Intersight is a 3-day instructor-led course. In this Cisco UCS server training course, you will become experienced with the administration and troubleshooting of Cisco Unified Computing System (UCS) B-Series and C-Series servers including using Cisco Intersight for UCS management. This custom-built Cisco UCS training class was developed by NterOne using the best lessons from all available Cisco server courses to maximize the learning experience for individuals who want to focus on day-to-day administration using Cisco UCS Manager or Intersight as the primary interface. Using real-world scenarios and examples, this Cisco training course will explore all the components of the UCS B-Series and C-Series solutions from a day-to-day administrative point of view. Learn C-Series standalone, C-Series under UCS Manager, B-Series administration, troubleshooting, and management tools used to support basic UCS and multi-cluster support with UCS Central, as well as using Cisco Intersight for UCS and Hyperflex operations and management. Module 1: UCS Infrastructure Components with Intersight Cisco UCS Product Line, Use Cases, and Components Introducing Cisco Intersight Describing Cisco UCS C-Series Servers Module 2: Administering Cisco UCS with Intersight Managing Virtual Resources Configuring Compute Node LAN Connectivity Configuring Compute Node SAN Connectivity Creating Identity and Resource Pools Creating Service Profiles Creating Service Profile Templates and Cloning Service Profiles Managing Service Profiles Troubleshooting Cisco UCS B-Series Configuration Troubleshooting Cisco UCS B-Series Operation Backing Up & Restoring the Cisco UCS Manager Database Managing and Upgrading Cisco UCS B-Series Firmware Module 3: Administering UCS Management Tools with Intersight Describing Cisco UCS User Interfaces Exploring Intersight User Interfaces Describing Cisco UCS Management Framework & Features Describing Cisco UCS Hyperflex Getting Started with Intersight Programmability Lab Outline: Labs are designed to assure learners a whole practical experience, through the following practical activities: Connecting to the Lab Environment Explore the Cisco UCS GUI and CLI Environment Explore the Cisco Intersight Dashboard and claim devices Create Users, Groups, Roles and Organizations in Intersight Provision Identity and Resource Pools in UCSM Provision Mobile Service Profiles from Updating Templates Backup and Restore Cisco UCS Manager Database Objects Configure Logging in Cisco Intersight Create LAN and SAN Network Policies in Intersight Build a Server Profile and deploy to a UCS blade from Intersight Using Intersight to upgrade Firmware Install an OS from Intersight Using Rest API to Query UCSM Objects in Intersight
Network forensics training course description This course studies network forensics-monitoring and analysis of network traffic for information gathering, intrusion detection and legal evidence. We focus on the technical aspects of network forensics rather than other skills such as incident response procedures etc.. Hands on sessions follow all the major sections. What will you learn Recognise network forensic data sources. Perform network forensics using: Wireshark NetFlow Log analysis Describe issues such as encryption. Network forensics training course details Who will benefit: Technical network and/or security staff. Prerequisites: TCP/IP foundation for engineers. Duration 3 days Network forensics training course contents What is network forensics? What it is, host vs network forensics, purposes, legal implications, network devices, network data sources, investigation tools. Hands on whois, DNS queries. Host side network forensics Services, connections tools. Hands on Windows services, Linux daemons, netstat, ifoconfig/ipconfig, ps and Process explorer, ntop, arp, resource monitor. Packet capture and analysis Network forensics with Wireshark, Taps, NetworkMiner. Hands on Performing Network Traffic Analysis using NetworkMiner and Wireshark. Attacks DOS attacks, SYN floods, vulnerability exploits, ARP and DNS poisoning, application attacks, DNS ANY requests, buffer overflow attacks, SQL injection attack, attack evasion with fragmentation. Hands on Detecting scans, using nmap, identifying attack tools. Calculating location Timezones, whois, traceroute, geolocation. Wifi positioning. Hands on Wireshark with GeoIP lookup. Data collection NetFlow, sflow, logging, splunk, splunk patterns, GRR. HTTP proxies. Hands on NetFlow configuration, NetFlow analysis. The role of IDS, firewalls and logs Host based vs network based, IDS detection styles, IDS architectures, alerting. Snort. syslog-ng. Microsoft log parser. Hands on syslog, Windows Event viewer. Correlation Time synchronisation, capture times, log aggregation and management, timelines. Hands on Wireshark conversations. Other considerations Tunnelling, encryption, cloud computing, TOR. Hands on TLS handshake in Wireshark.