Prajwal D B Cybersecurity, Ethical hacking, Network security
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• ₹15000
• Duration: 2 months
• Delivery mode: Online
• Group size: 6 - 10
• Instruction language: English, Hindi
• Certificate provided: Yes

A cybersecurity course is an educational program designed to teach individuals the principles, techniques, and best practices for securing computer systems, networks, and data from cyber threats and attacks. The course aims to provide students with the knowledge and skills needed to understand, prevent, detect, and respond to cybersecurity incidents.
Course Topics:

Introduction to Cybersecurity
Information Security Fundamentals
Network Security
Access Control and Authentication
Cryptography and Encryption
Malware and Antivirus
Threats and Attack Vectors
Web Security
Wireless Network Security
Security Policies and Compliance
Ethical Hacking and Penetration Testing
Incident Response and Recovery
Legal and Ethical Aspects of Cybersecurity

• ₹25000
• Duration: 35 days
• Delivery mode: Flexible as per the student
• Group size: 11 - 20
• Instruction language: English, Hindi
• Certificate provided: Yes

Machine Learning (ML):
Machine Learning is a subset of artificial intelligence that focuses on the development of algorithms and models that enable computer systems to learn and make predictions or decisions without being explicitly programmed. ML systems use data and statistical techniques to improve their performance over time. The key components of ML include:

Data Training: ML models are trained using large datasets, allowing them to recognize patterns, correlations, and trends within the data.

Algorithms: ML algorithms, such as decision trees, neural networks, and support vector machines, are used to process and analyze data.

Supervised and Unsupervised Learning: ML includes supervised learning (where models are trained on labeled data) and unsupervised learning (where models discover patterns in unlabeled data).

Reinforcement Learning: In this approach, ML models learn through trial and error, receiving feedback to improve their decisions and actions.

Applications: ML is used in various applications, including predictive analytics, natural language processing, computer vision, and recommendation systems.

Artificial Intelligence (AI):
Artificial Intelligence is a broader field that encompasses machine learning and other techniques to create intelligent systems capable of reasoning, problem-solving, and mimicking human cognitive functions. AI aims to build systems that can perform tasks that typically require human intelligence. Key aspects of AI include:

Machine Learning within AI: AI often relies on ML to make predictions and decisions, but it also includes rule-based systems, expert systems, and knowledge representation.

Natural Language Processing (NLP): AI systems can understand and generate human language, enabling applications like chatbots, language translation, and sentiment analysis.

Computer Vision: AI systems use computer vision to analyze and understand visual data, such as images and videos, and can be applied in autonomous vehicles, facial recognition, and medical imaging.

Expert Systems: These are AI systems designed to replicate human expertise in specific domains, making decisions and providing recommendations.

Robotics: AI is integrated into robots to enable autonomous actions and decision-making, making them valuable in manufacturing, healthcare, and other industries.

AI Ethics: As AI continues to advance, there's a growing focus on ethical considerations, such as fairness, transparency, and accountability in AI systems.

Applications of ML and AI:
Both ML and AI have a wide range of practical applications, including:

Predictive Analytics: Forecasting trends, customer behavior, and stock market movements.
Healthcare: Diagnosing diseases, drug discovery, and personalized treatment recommendations.
Finance: Fraud detection, algorithmic trading, and credit risk assessment.
Autonomous Vehicles: Self-driving cars and drones.
Natural Language Processing: Virtual assistants like Siri and Alexa, language translation, and sentiment analysis.
Image and Video Analysis: Object recognition, facial recognition, and security systems.
Manufacturing: Quality control, predictive maintenance, and supply chain optimization.

• ₹20000
• Duration: 2 months
• Delivery mode: Flexible as per the student
• Group size: 6 - 10
• Instruction language: English, Hindi
• Certificate provided: Yes

Certified Ethical Hacker (CEH) is a professional certification offered by the International Council of Electronic Commerce Consultants (EC-Council). It is designed for individuals who want to acquire the knowledge and skills required to identify, prevent, and counteract the actions of malicious hackers and cybercriminals. CEH professionals are also commonly known as ethical hackers or white-hat hackers. Here's a description of the CEH certification:

Certification Overview:

The Certified Ethical Hacker (CEH) certification is a globally recognized credential that demonstrates a professional's proficiency in ethical hacking, penetration testing, and understanding the mindset of malicious hackers. CEH professionals are trained to think and act like malicious hackers to identify and address vulnerabilities and weaknesses in computer systems and networks before real hackers can exploit them.

CEH Certification Objectives:

The CEH certification program is designed to achieve the following objectives:

Understanding the Hacker Mindset: CEH candidates learn to think like hackers, understanding their motives, techniques, and strategies. This knowledge is essential for identifying and countering malicious activities.

Vulnerability Assessment: CEH professionals gain the skills to identify and assess vulnerabilities in systems, networks, and applications. This involves conducting thorough security assessments.

Penetration Testing: CEH certification covers the tools and techniques used in penetration testing to evaluate an organization's security posture. This includes both manual and automated testing methods.

Security Countermeasures: CEH candidates learn how to implement security measures and countermeasures to protect systems and networks from potential threats and vulnerabilities.

Ethical Hacking Tools and Techniques: CEH covers a wide range of hacking tools and techniques used by ethical hackers to assess and strengthen security.

Network Security: The certification includes topics related to network security, including firewalls, intrusion detection and prevention systems, and network design best practices.

Web Application Security: CEH candidates understand how to secure web applications, including testing for vulnerabilities and securing code.

Wireless Network Security: The certification covers wireless network security, including identifying and addressing common vulnerabilities in Wi-Fi networks.

Incident Response and Handling: CEH professionals learn how to respond to security incidents, investigate breaches, and apply forensic techniques.

Compliance and Legal Issues: The certification addresses the legal and ethical aspects of hacking, ensuring that professionals act within the boundaries of the law.

Who Should Pursue CEH Certification:

CEH certification is ideal for:

IT and security professionals interested in ethical hacking and penetration testing.
Security analysts, network administrators, and security auditors.
System administrators responsible for securing computer systems and networks.
Individuals seeking to enhance their knowledge of cybersecurity and ethical hacking.
Benefits of CEH Certification:

Enhanced cybersecurity skills and knowledge.
Career advancement opportunities in cybersecurity and ethical hacking roles.
Recognition as a certified ethical hacker, demonstrating a commitment to ethical and legal hacking practices.
The ability to safeguard organizations from cyber threats and vulnerabilities.
CEH certification is highly respected in the cybersecurity industry and serves as a valuable asset for professionals seeking to protect organizations from cyber threats and vulnerabilities while adhering to ethical and legal standards. It is often a prerequisite for roles in penetration testing, security analysis, and ethical hacking.