34 Algorithms courses

Voice over LTE training course description This course provides a basic understanding of the 3G LTE Air Interface, SAE, as well as Voice over LTE options and LTE Advanced features. Investigating the standards for the EPS , formulated by the 3GPP standards body, the course will set out to examine and explain the 4G environment from user equipment to border gateway and beyond. This course will ensure the delegate has a grasp of all aspects of the current global deployments, the next steps in upgrades and the promise of things to come. What will you learn Describe the complete EPC architecture. Explain the use of QoS within the air interface & core network. Explore the features of LTE advanced. Describe the various methods of supporting voice services with 3G LTE. Describe IMS structure and control entities. Explain an IMS session. Voice over LTE training course details Who will benefit: Any engineers who are assisting in the deployment of voice services within their LTE networks. Prerequisites: Intro to Data comms & networking Telecommunications Introduction Duration 3 days Voice over LTE training course contents 3GPP standards body Release 8 - Release 12, Supported and expected features. The EPC revisited EPC revisited 3G LTE & EPC Architecture, NB, MME, SGW, PDNGW, PCRF, Interworking capabilities, Protocol stack explored, NAS signalling, Default EPS bearer, Slot allocation algorithms, Scheduling algorithms, Quality of Service requirements, Dedicated EPS bearers. VoLTE deployment strategies Common networks everywhere, GSM/WCDMA view, CDMA view. VoLTE system architecture LTE radio, LTE Radio background, LTE radio architecture, Evolved packet core, EPC entities & functions, EPS mobility management, MS entities, Home subscriber server, Policy & charging rules function. VoLTE functionality Radio functionality, Bearers & schedulers, Mobility, Circuit switched fall back handover, Mobility from 2G/3G back to LTE, Power Saving Features, Positioning services, UE radio access capabilities for VoLTE users. EPC functionalities, LTE subscriber identification, PDN connectivity establishment, EPS dedicated bearer setup, IMS identification, IP multimedia identification module, Public user identity, Private user identity, Relationship between public & private identity, identification of users device, identification of network entities, identification of services, identification without ISIM. IMS service provisioning, Enforcement of allowed services, Service triggering information, Selection of the AS, AS behaviour, Service provisioning in action. VoLTE end-to-end & signalling VoLTE subscription & device configuration. EPS attach for CSFB/IMS VoIP & default bearer. IMS registration, Constructing the REGISTER request, From UE to P-CSCF, From P-CSCF to I-CSCF, From I-CSCF to S-CSCF, S-CSCF challenges the UE, UE's response to the challenge, Registration at the S-CSCF, The 200 OK response, Third-party registration to application servers, Subscription to registration event package, Re-registration & re-authentication, De-registration, Related standards. IMS VoIP session, Constructing the INVITE request, Routing, Media negotiation, Media resource reservation & policy control, Charging, Session release. Voice continuity, PS - PS intersystem handover, Single radio voice call continuity. IMS emergency session, PDN Connection setup for emergency session, Emergency registration, Emergency session. CS fallback for EPS call case, Architecture of CS fallback in EPS, Description of SGs interface, Idle mode signalling reduction, Idle mode vs active mode, CS fallback attachment, Mobile originating call using CSFB, Mobile terminating call using CSFB, Call unrelated CSFB procedures, Mobile terminating roaming retry & forwarding. VoLTE Messaging, Native IMS messages, SMS interworking, Multimedia messaging service. Unstructured supplementary services data simulation in IMS. IMS services VoLTE radio performance Coverage, Latency, Capacity. LTE advanced features Carrier aggregation, Coordinated mMulti-point Operation (CoMP), ICIC & eICIC, Relay node deployment & donor eNBs, Improved cell edge coverage, Reduced control plane latency, Heterogeneous networks, HeNB, security gateways, HeNB gateways.

Overview SEO help you define your most profitable focused audience and develop a bridge of communication that reach them directly, thereby positioning your product in the right and most efficient way. Using SEO skills targets increasing the number of visitors to a website and ensuring that the site appears high in ranking on the list of top page results returned by a search engine. SEO has become an increasingly sought-after skill for companies who want to keep track of their rankings in Google's organic search. To reach the customer nationally or internationally, SEO is the only way where we can reach a global market. It is very important to understand the techniques of SEO and how to use Digital Marketing in a more efficient way to reach every corner of the world.  This Specialized course will highlight the skills required to optimize website content for top SE Ranking. Through this course, you will learn the algorithms many search engines follow including Google Search. Specially designed with a lot of practical and live examples of advanced SEO techniques used by professionals you will gain a real-world skill to enhance your knowledge in Content Marketing, On-Off Page Optimization, followed by aligning SEO with overall business strategies. 

C++ training course description A hands on introduction to programming in the C++ language. The course concentrates on aspects that will be new to experienced C programmers and so is not suitable for those without C knowledge. What will you learn Write C++ programs Debug C++ programs. Examine existing code and determine its function. Use classes, function overloading, operator overloading, inheritance and virtual functions within C++ programs. C++ training course details Who will benefit: Programmers needing to write C++ code. Programmers needing to maintain C++ code. Prerequisites: C programming foundation. Duration 5 days C++ training course contents The origins of C++ C++ as a better C, C++ and Object Oriented Programming, encapsulation, polymorphism, inheritance. C++ standards. Getting started Simple C++ programs. Classes Basics, constructor and destructor functions, member and friend functions. Using objects. Default, copy and conversion constructors. A better C Arrays, pointers and references, new and delete. Improved safety with smart pointers, Resource Acquisition in Initialization (RAII). Functions in C++ Function overloading, default arguments, inline functions, Lambda functions. Templates Template classes and functions. Standard Library Containers, Iterators, algorithms, function objects. Operator overloading Basics, binary operators, the this pointer, relational operators, unary operators. Members versus friends. Inheritance Base class access control, protected members, multiple inheritance, virtual base classes. More I/O Manipulators, customising inserters, extractors. File I/O. Virtual functions Pointers to derived classes, run time polymorphism. Exception handling Throwing errors, trying code and catching errors.

OpenSSL for engineers training course description A hands on course covering OpenSSL. The course focusses on the use of OpenSSL from the command line as opposed to using its extensive libraries. Certificate authorities are configured along with key generation, HTTPS and a SSL VPN. What will you learn Describe OpenSSL. Use OpenSSL. Describe and implement: Explain how the various technologies involved in an OpenSSL work. OpenSSL for engineers training course details Who will benefit: Network personnel. Prerequisites: IP security foundation for engineers Duration 2 days OpenSSL for engineers training course contents What is OpenSSL? What is SSL? SSL versions, TLS, TLS negotiation, TLS authentication, What is OpenSSL, Command line tool, SSL library. OpenSSH, OpenVPN. Hands on TLS packet analysis. Getting started with OpenSSL Downloading, source code, packages, installing, versions, configuration, openssl command. Cipher suite selection. Hands on Encrypting a file with openssl. Public and private keys Algorithms, creating keys, public keys, private keys, encrypting the private key. Hands on Encrypting a file with keys. Digital signatures Creating signatures, checking validity of signatures, Self signing SSL certificates. Viewing certificates. Certificate files. Converting between formats. Hands on Securing a web server with HTTPS. Simple PKI with OpenSSL Root CA, signing CA, configuration files, Certificate signing requests. Email certificates, TLS server certificates. Hands on Implementing a simple PKI with OpenSSL.

Penetration testing training course description An advanced technical hands on course focusing on hacking and counter hacking. The course revolves around a series of exercises based on "hacking" into a network (pen testing the network) and then defending against the hacks. What will you learn Perform penetration tests. Explain the technical workings of various penetration tests. Produce reports on results of penetration tests. Defend against hackers. Penetration testing training course details Who will benefit: Technical support staff, auditors and security professionals. Staff who are responsible for network infrastructure integrity. Prerequisites: IP Security IP VPNs Duration 5 days Penetration testing training course contents Introduction Hacking concepts, phases, types of attacks, 'White hacking', What is penetration testing? Why use pen testing, black box vs. white box testing, equipment and tools, security lifecycles, counter hacking, pen testing reports, methodologies, legal issues. Physical security and social engineering Testing access controls, perimeter reviews, location reviews, alarm response testing. Request testing, guided suggestions, trust testing. Social engineering concepts, techniques, counter measures, Identity theft, Impersonation on social media, Footprints through social engineering Reconnaissance (discovery) Footprinting methodologies, concepts, threats and countermeasures, WHOIS footprinting, Gaining contacts and addresses, DNS queries, NIC queries, ICMP ping sweeping, system and server trails from the target network, information leaks, competitive intelligence. Scanning pen testing. Gaining access Getting past passwords, password grinding, spoofed tokens, replays, remaining anonymous. Scanning (enumeration) Gaining OS info, platform info, open port info, application info. Routes used, proxies, firewalking, Port scanning, stealth port scanning, vulnerability scanning, FIN scanning, Xmas tree scanning, Null scanning, spoofed scanning, Scanning beyond IDS. Enumeration concepts, counter measures and enumeration pen testing. Hacking Hacking webservers, web applications, Wireless networks and mobile platforms. Concepts, threats, methodology, hacking tools and countermeasures. Trojan, Backdoors, Sniffers, Viruses and Worms Detection, concepts, countermeasures, Pen testing Trojans, backdoors, sniffers and viruses. MAC attacks, DHCP attacks, ARP poisoning, DNS poisoning Anti-Trojan software, Malware analysis Sniffing tools. Exploiting (testing) vulnerabilities Buffer overflows,, simple exploits, brute force methods, UNIX based, Windows based, specific application vulnerabilities. DoS/DDoS Concepts, techniques, attack tools, Botnet, countermeasures, protection tools, DoS attack pen testing. SQL Injection Types and testing, Blind SQL Injection, Injection tools, evasion and countermeasures. Securing networks 'Hurdles', firewalls, DMZ, stopping port scans, IDS, Honeypots, Router testing, firewall testing, IDS testing, Buffer Overflow. Cryptography PKI, Encryption algorithms, tools, Email and Disk Encryption. Information security Document grinding, privacy.

Firewalls training course description A technical hands on training course covering firewall technologies. This focuses on the whys and hows of firewall technology rather than looking at manufacturer specific issues. What will you learn Design secure firewall protected networks. Test firewalls. Evaluate firewalls Configure firewalls Firewalls training course details Who will benefit: Technical staff wanting to learn about Filrewalls including: Technical network staff. Technical security staff. Prerequisites: IP security foundation for engineers Duration 2 days Firewalls training course contents Firewall introduction Security review, what is a firewall? What do firewalls do? Firewall benefits, concepts. Hands on Configuring the network to be used in later labs, launching various attacks on a target. Firewall types Packet filtering, SPI, Proxy, Personal. Software firewalls, hardware firewalls, blade based firewalls, personal firewalls, which firewall should you use? Firewall products. Hands on Configuring a simple firewall. Packet filtering firewalls Things to filter in the IP header, stateless vs. stateful filtering. ACLs. Advantages of packet filtering. Hands on Configuring packet filtering firewalls. Stateful packet filtering Stateful algorithms, packet-by-packet inspection, application content filtering, tracks, special handling (fragments, IP options), sessions with TCP and UDP. Firewall hacking detection: SYN attacks, SSL, SSH interception. Hands on Stateful packet inspection firewalls. Proxy firewalls Circuit level, application level, SOCKS. Proxy firewall advantages and disadvantages. Hands on Proxy firewalls. Personal firewalls The role of personal firewalls, Windows XP, Zonealarm. Hands on Configuring a personal firewall. Firewall architectures Home based, small office, enterprise, service provider, what is a DMZ? DMZ architectures, bastion hosts, multi DMZ. Virtual firewalls, transparent firewalls. Dual firewall design, high availability, load balancing, VRRP. Hands on Resilient firewall architecture. Securing communications VPNs, IPsec. Firewall configuration of VPNs, integration of dedicated VPN devices and firewalls. Hands on IPSec VPN configuration. Testing firewalls Configuration checklist, testing procedure, monitoring firewalls, logging, syslog. Hands on Testing firewalls.

IP security training course description Connection to the Internet is becoming an essential business tool. This course looks at firewalls, digital certificates, encryption and other essential topics for e-commerce sites. A generic course that looks at firewalls and VPNs. Hands on sessions include using hacking tools and configuring firewalls. What will you learn Describe: Basic security attacks RADIUS SSL IPSec VPNs Implement digital certificates Deploy firewalls to protect Web servers and users. Secure Web servers and clients. IP security training course details Who will benefit: Network administrators. Network operators. Security auditors Prerequisites: TCP/IP foundation for engineers Duration 2 days IP security training course contents TCP/IP review Brief overview of the relevant headers. Hands on Download software for course, use analyser to capture passwords on the wire. Security review Policies, Types of security breach, denial of service, data manipulation, data theft, data destruction, security checklists, incident response. Security exploits The Internet worm, IP spoofing, SYN attack, hijacking, Ping o' Death… keeping up to date with new threats. Hands on Use a port scanning tool, use a 'hacking' tool. Firewalls Products, Packet filtering, DMZ, content filtering, stateful packet inspection, Proxies, firewall architectures, Intrusion Detection Systems, Viruses. Hands on Set up a firewall and prevent attacks. NAT NAT and PAT, Why use NAT, NAT-ALG, RSIP. Encryption Encryption keys, Encryption strengths, Secret key vs Public key, algorithms, systems, SSL, SSH, Public Key Infrastructures. Hands on Run a password-cracking program. Authentication Types of authentication, Securid, Biometrics, PGP, Digital certificates, X.509 v3, Certificate authorities, CRLs, PPP authentication, RADIUS. Hands on Using certificates. Web client and server security Cookies, browser certificates, censorship, PICS. Operating system security, Web server user authentication, Restricting access, Logging, Securing CGI scripts. Hands on Browser security. VPNs and IPSec What is a VPN, tunnelling, L2F, PPTP, L2TP, IPSec, AH, ESP, transport mode, tunnel mode.

Definitive VPNs training course description A hands on course covering VPNs from the basics of benefits and Internet vs. Intranet VPNs through to detailed analysis of the technologies involved in VPNs. All the major VPN protocols are covered including PPPoE, L2TP, SSL, IPsec and dynamic VPNs. MPLS L3 VPNs are also covered. What will you learn Describe what a VPN is and explain the difference between different VPN types. Recognise the design and implementation issues involved in implementing a VPN. Explain how the various technologies involved in a VPN work. Describe and implement: L2TP, IPsec, SSL, MPLS L3 VPNs. Evaluate VPN technologies. Definitive VPNs training course details Who will benefit: Network personnel. Prerequisites: IP Security foundation for engineers. Duration 3 days Definitive VPNs training course contents VPN overview What is a VPN? What is an IP VPN? VPNs vs. Private Data Networks, Internet VPNs, Intranet VPNs, Remote access VPNs, Site to site VPNs, VPN benefits and disadvantages. VPN Tunnelling VPN components, VPN tunnels, tunnel sources, tunnel end points, hardware based VPNs, Firewall based VPNs, software based VPNs, tunnelling topologies, tunnelling protocols, which tunnelling protocol should you use? requirements of tunnels. VPN security components Critical VPN security requirements, Encryption and authentication, Diffie Hellman, DES, 3DES, RSA, PKI, Ca server types, pre shared keys versus certificates, Enrolling with a CA, RADIUS in VPNs. PPP Encapsulation, operation, authentication. Hands on Setting up PPPoE and analysing PPP packets. PPTP Overview, Components, How it works, control and data connections, GRE. Hands on Building a PPTP VPN. L2TP Overview, components, how it works, security, packet authentication, L2TP/IPSec, L2TP/PPP, Layer 2 versus layer 3 tunnelling. Hands on Implementing a L2TP tunnel. IPSec AH, HMAC, ESP, transport and tunnel modes, Security Association, use of encryption and authentication algorithms, manual vs automated key exchange, NAT and other issues. Hands on Implementing an IPSec VPN. Intranet VPNs Headers, architecture, label switching, LDP, MPLS VPNs. VPN products and services PE and CPE, management, various VPN products. VPN issues and architectures VPN architectures: terminate VPN before/on/ after/in parallel with firewall, resilience issues, VRRP, performance issues, QoS and VPNs. documentation.

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations