February05

Cyber Professional’s Incubation Center- 100% Internship Program

Cyber Professional’s Incubation Center

Job Oriented Courses with 100% Internship with Stipend

Cyber Professional’s Incubation Center- 100% Internship Program with Stipend

Cyber Professional’s Incubation Center
100% Real Experience Internship with Stipend

There will be 3.5 million unfilled cyber security jobs globally until last year.
– Cybersecurity Ventures

India alone is expected to have more than 1.5 million job vacancies in cyber security by 2025
– The Hindu Business Line

100% Internship with Stipend
Student will get real experience of cyber security internship with stipend for 3 months. as well as they get experience certificate.

Key Features

Job competency based assessment
Personalized study plan
Grooming boot camps for companies
Advanced Technology Sessions
Practical scenario based learning
Interview preparation Sessions
Personal Coaching & Mentoring by Industry Expert
Technical Project practice implementation
Internship Experience Letter
Cyber Professional’s Incubation Center
More than 600 Hrs. of intensive training
Mock interview practice

Curriculum

Module 1: Networking

Introduction to Networking & Types, Networking Topology
OSI and TCP/IP layer
Internet Protocol & Addressing, Describe Classless IP Addresses, ,Public & Private IP, Reserved IP Addresses
Concept of Subnet mask, Subnetting of Class
Introduction to LAN & WAN and Demonstrate Diagram covering LAN & Wan Topology
Network Devices
Different Types of Network Ethernet Switches for Small or Large Networks
Securing Network Devices, Switches and Router
Protocol Understanding
Basic Access Control List, Advanced Access Control list
NAT & NAT TYPES, Static NAT ,Dynamic NAT & PAT
LAB-Configuring VLAN, VLAN Access & Trunk Port
Router Configuration and routing protocol
Module 2: Windows
Fundamental of Operating systems
Introduction and Deploying Windows Server 2019
Difference between Client and Domain
Overview of AD DS, Installing a Domain Controller
Managing ADDS Object
Configuring DNS zones AD integrated, Std Primary, Additional ADDS
DNS resource record types NS,SOA,A,AAAA,PTR and CNAME
ADDS object administration using Command line and Power Shell
Overview of VT Technology, installing Hyper-V role and configuring Virtual machines
Hyper-V Network configuration, storage configuration,check-points,passthrough disk, memory management
Introduction to group policy architecture, local policy vs domain policy,goup policy processing order LSDOU concept
Overview of DHCP,DORA process and configuring DHCP scope and reservation
Introduction to Fileserver and configuring DFS name space and DFS replication Share and NTFS permissions
Introduction to VPN server and Lab VPN configuration

Module 3: Linux

Introduction To Linux
Accessing the command line
Manage Files from command line
Creating ,Viewing and editing the text files.
Administer Users and Groups
Controlling Access files with Linux file system permissions
Monitoring & managing Linux processes
Configuring and securing OpenSSH service
Analyzing and storing logs
Managing Linux Networking
Installing and upgrading software Packages
Network Port Security

Module 4: Cyber Essential

Cybersecurity Fundamentals
Cybersecurity Terminology
Importance of Cybersecurity
Case studies of real world cyber attacks
Cybersecurity Threats and Attack
Fundamentals of Application Security
Basics of Network Security

Understanding of Firewall. Web Application Firewall (WAF) Proxy
Basics of Endpoint Security
Threat Intelligence
Phishing email & their analysis
WireShark

Module 5: Ethical Hacking

Introduction to Ethical Hacking
Footpronting & Reconnaissance
Scanning Network
Enumeration
System Hacking
Malware threats
Sniffining
Social Engineering
Denial of service
Session Hijacking
Evading IDS, Firewall & Honey Pots
Owaps TOP 10
Hacking Web server
Hacking Web Application
SQL Injection
Cryptography
Vulnerability Assessment and Management (Nessus)

Module 6: Cloud

Understand Cloud Concepts
Understand Core Azure/AWS Services
Manage Identities and Governance
Implementing & Managing Storage
Deploy and Manage Azure/AWS Compute Resources
Configure & Manage Virtual Networking
Monitor and Backup Azure/AWS Resources
Monitoring of Logs
Understand Security, Privacy, Compliance and Trust

TRACK 1 : SOC (Security Operation Center) Analyst

Security Operations Center (SOC) Operations Overview
SIEM Tool Architecture and Installation
Logs, Events, Parsing and Normalization
Onboarding multiple log sources to SIEM tool (Wazuh or Qradar or Splunk or RSA Netwitness)
Raw Log Analysis
What is SIEM Use Cases and map to top 20 use cases
Ticketing tool understanding
SOC Incident Detection and Response
Alert Analysis and investigating on the Real-time Incidents for True Positive or False Positive
Best Practices and Advanced Techniques
Understanding of Mitre attack frame work

Track 2: IT Security Analyst

Firewall, Web Application Firewall (WAF) Proxy
Email Gateway (Email Security) O365 Security/Gsuite Security
IPS/IDS: Intrusion Prevention System/Intrusion Prevention System
DLP (Data Loss Prevention)
Antivirus Management
EDR (Endpoint Detection & Response) , XDR (Extended detection & response)
Vulnerability Management
IAM (Identity & Access Management)
MFA (Multiple Factor Authentication)
SSO (Single Sign On)
Hardening of Application, System & Network
CSPM (Cloud Security Posture management)

High Demand Skills
Approved and endorsed by NSDC
Real Experience
100% Internship Program with Stipend

December14

technologyby admin_seedinfotech

Java Flexibility and Widespread in the Current Technological Environment

James Gosling created the computer language Java in the middle of the 1990s, and it has not only survived the test of time but also continues to rule the modern world. Because of its importance, adaptability, and constant change, it is an essential component of contemporary software development.

The Evolution of Java: A Journey Through Versions and Innovation
The evolution of Java is reflected in its versions, which each provide new advancements and capabilities. The Java language has grown significantly between Java 1.0 and the most recent version, Java 18. The way developers design, create, and manage apps has been greatly influenced by this progression.
Java is now known for its stability and flexibility, providing a wide variety of tools, frameworks, and features to meet the various needs of developers. The environment it has created, which has allowed for full-stack development, enterprise solutions, and cutting-edge applications, is just as important as its syntax.

Full-Stack Java Development: Revolutionizing Application Creation
The concept of full-stack development in Java has revolutionized the process of application creation. With frameworks like Spring and Apache Tomcat, developers can build both the frontend and backend of applications seamlessly. Java’s Full Stack Developer course and tools like Intellij IDEA provide a comprehensive environment for these endeavors.

Online Java Compiler: Expanding Accessibility and Collaboration
The availability of online Java compilers has further broadened up the world of programming. It is now possible for the future developers to write, compile, and test code without requiring complex local installs. Developers can now work together, review, and test code in real-time in a collaborative setting.

Innovative Uses of Java in Unexpected Arenas
Java has achieved significant improvements in several domains beyond the scope of typical software development. Java is used in the desktop version of the game Minecraft, which changed the gaming industry and demonstrates the language’s versatility.

Java’s Vital Role in Enterprise Solutions
Java is a key component of enterprise-level solutions because of its flexibility and robustness. In order to ensure dependability, security, and flexibility for extensive business processes, the Spring framework, JDBC, and JPA Java are essential components in the construction of these systems.

Java’s Role in Web Development
Java is simply the best language for developing websites. Web application development has been greatly assisted by technologies such as Java’s JSP and the addition of servlets. Java’s importance in server-side logic development is demonstrated by JAX-RS, which makes it possible to create robust web APIs.

Continuous Innovation and Advancements in Java
Java is still developing in the current market, which moves quickly. Versions like Java 17 and its predecessors show an effort to continuous improvement as well as a smooth acquisition of new technologies. The language’s flexibility to accommodate new characteristics and improvements—such as the introduction of protected classes, external functions, and memory APIs in Java 17—further establishes its applicability in modern development methodologies.

Java’s Ubiquitous Nature and the Future Ahead
Java is used for more than just developing software. Its use in cloud computing, artificial intelligence, mobile technology, and the internet of things (IoT) signifies a bright future. Java is becoming a leader in the latest technologies because to innovations like GraalVM and Quarkus, which are expanding the language’s capabilities.

In conclusion, Java continues to be an essential tool in the field of programming despite its lengthy history and ongoing development. It is a must-have tool for developers, educators, and innovators due to its adaptability, versatility, and broad application across numerous industries. The language has a great future ahead of it, full of new developments and inventions that will continue to influence the digital world in which we live.

For more information Visit :

Full stack Java Development

Blogger,
Pranav Umekar
SEED Infotech Ltd., Pune

December08

technologyby admin_seedinfotech

Game-Changing Power of Machine Learning

Remodeling the Current Technological Environment

At the heart of technological progress, machine learning (ML) and its subset, deep learning (DL), are transforming entire industries and fundamentally changing how humans interact with and analyze data. Because they bring new possibilities in a number of industries, these advanced technologies have become extremely important in the modern economy.

Understanding Machine Learning and its Significance
Fundamentally, machine learning is the method of giving computers the ability to recognize patterns in data and arrive at conclusions without the need for explicit programming. Its importance comes from its capacity to evaluate big datasets, draw insightful conclusions, and forecast future events. Machine learning (ML) is the foundation for a wide range of applications in today’s data-driven environment, from artificial intelligence systems to predictive analytics.

The Deep Impact of Deep Learning
A branch of machine learning called deep learning resembles the neural networks seen in the human brain to help find patterns in huge quantities of data. Its uses include natural language processing, picture and speech recognition, and even sophisticated medical diagnostics. DL models’ ability to generate abstract representations from raw data has transformed a number of industries by improving automation, accuracy, and efficiency.

Cloud-Based ML Services: Azure ML, AWS, and Google Cloud
Leading cloud service providers such as Google Cloud, Amazon Web Services (AWS), and Microsoft Azure deliver advanced Machine Learning solutions. Developers are provided with a strong platform to create, train, and implement machine learning models at large scale via Azure Machine Learning, AWS SageMaker, and Google Cloud ML. These services revolutionize ML implementation by making ML readily available and effective for organizations of all sizes.

Applications and Innovations in ML and AI
Innovative uses of machine learning can be found in fraud protection, maintenance planning, identifying errors, and medical diagnostics. Predictive analysis and recommendations systems play a crucial role in the financial sectors, improving consumer experiences and decision-making. Artificial intelligence (AI) systems that can recognize voices, translate text, and analyze emotions are the result of combining machine learning (ML) with natural language processing (NLP) and neural networks.

Operational Aspects: ML System Design and ML Operations
For ML models and architectures to be designed efficiently, machine learning system design is essential. Machine learning models’ dependability, effectiveness, and performance in real-life situations are being ensured by the growing importance of ML having an observational and operational Excellence. The machine learning pipeline’s management, monitoring, and optimization are the major priorities.

The Future: Quantum Machine Learning, TinyML, and Advancements
The developments in ML and AI that we will see in the future include Quantum Machine Learning and TinyML. While TinyML concentrates on executing ML models on small, limited in resource devices, quantum computing promises to solve complicated issues more quickly. These developments broaden the scope of machine learning and open up possibilities for creativity and innovative uses across a range of industries.

Challenges and Ethical Considerations
The understanding of models, incorrect information, and legal concerns are all challenges in machine learning. The significance of ethical artificial intelligence research and application is highlighted by the necessity of ensuring equality, openness, and accountability in machine learning systems.

Conclusion: The Ever-Evolving Landscape of ML and AI
Machine learning and its specialized form, deep learning, have quickly moved from being industry terms to revolutionizing entire sectors. Machine learning and artificial intelligence (ML and AI) are at the heart of defining the present and the future due to their broad range of applications, technological developments, and constant improvements. In conclusion, it is impossible to understate the importance of machine learning and deep learning in the current industry. These technologies have not only changed industries, but they also have the potential to completely transform our planet and push us toward a time when progress and creativity will always be encouraged.

For more information Visit :

https://www.seedinfotech.com/machine-learning-in-data-science/

Blogger,
Pranav Umekar
SEED Infotech Ltd., Pune

Call +91-9225520000