Introduction to Artificial Intelligence (AI)

(6 customer reviews)

49,286.73

Explore the fundamentals of Artificial Intelligence (AI) in this beginner-friendly course. Learn about machine learning, neural networks, and real-world applications, with hands-on projects using Python libraries like TensorFlow. Ideal for those new to AI and looking to gain foundational knowledge.

Description

Artificial Intelligence (AI) is shaping the future of technology, and this course provides a comprehensive introduction to the field. You’ll learn about AI concepts, including machine learning, neural networks, natural language processing, and computer vision. The course includes practical examples and projects, such as building simple AI models with Python libraries like TensorFlow and Scikit-learn. You’ll also explore ethical considerations and real-world applications of AI in industries like healthcare, finance, and automation. By the end, you’ll have a solid foundation in AI concepts and hands-on experience, making this course perfect for beginners eager to explore the world of AI.

What you'll learn

What You’ll Learn:

  1. Fundamentals of Ethical Hacking
    • Understand what ethical hacking is and its importance in cybersecurity.
    • Learn the difference between ethical hackers and malicious hackers (black-hat vs. white-hat).
  2. Cybersecurity Basics and Terminology
    • Grasp essential cybersecurity concepts, including encryption, firewalls, VPNs, and malware.
    • Familiarize yourself with key cybersecurity terminology.
  3. Setting Up a Safe Hacking Environment
    • Learn how to set up a virtual lab using tools like VirtualBox and VMware to practice hacking techniques safely.
    • Install and configure Kali Linux, a popular penetration testing platform.
  4. Reconnaissance and Information Gathering
    • Learn reconnaissance techniques to gather information about a target system (OSINT – Open Source Intelligence).
    • Use tools such as Nmap, WHOIS, and Google Dorking to collect publicly available data.
  5. Network Scanning and Vulnerability Assessment
    • Learn how to scan networks to identify open ports and services.
    • Understand vulnerability scanning using tools like Nessus and OpenVAS.
  6. Exploitation Techniques
    • Understand how vulnerabilities are exploited through techniques like SQL Injection, Cross-Site Scripting (XSS), and buffer overflow attacks.
    • Practice exploiting vulnerabilities in controlled environments using tools like Metasploit.
  7. Post-Exploitation and Privilege Escalation
    • Learn how attackers maintain access and escalate privileges on compromised systems.
    • Understand the concept of persistence and lateral movement within networks.
  8. Ethical Hacking Tools
    • Explore key ethical hacking tools such as Metasploit, Burp Suite, Wireshark, and John the Ripper.
    • Learn how to use these tools for penetration testing and network analysis.
  9. Legal and Ethical Considerations
    • Understand the legal and ethical boundaries in ethical hacking.
    • Learn about important laws, such as the Computer Fraud and Abuse Act (CFAA), and guidelines for performing ethical hacking safely.
  10. Reporting and Remediation
    • Learn how to write detailed reports of your findings.
    • Understand how to provide recommendations for remediating vulnerabilities and strengthening security.

Syllabus

Course Syllabus:


Module 1: Introduction to Ethical Hacking

  • Lesson 1: What is Ethical Hacking?
    • Understanding the role of ethical hackers.
    • The importance of ethical hacking in cybersecurity.
  • Lesson 2: Types of Hackers
    • Black-hat hackers vs. white-hat hackers.
    • Gray-hat hacking and the ethical hacker’s mindset.
  • Lesson 3: Ethical Hacking Methodology
    • Phases of ethical hacking: Reconnaissance, scanning, gaining access, maintaining access, and reporting.

Module 2: Cybersecurity Concepts and Terminology

  • Lesson 4: Cybersecurity Fundamentals
    • Understanding confidentiality, integrity, and availability (CIA Triad).
    • Common cybersecurity threats: Malware, phishing, DoS attacks, and more.
  • Lesson 5: Cybersecurity Tools and Concepts
    • Introduction to firewalls, VPNs, encryption, and intrusion detection systems (IDS).
    • Basics of risk management and threat modeling.

Module 3: Setting Up a Hacking Lab

  • Lesson 6: Creating a Virtual Hacking Lab
    • Setting up VirtualBox or VMware for safe hacking practice.
    • Installing Kali Linux and other essential tools.
  • Lesson 7: Kali Linux Overview
    • Exploring Kali Linux as an ethical hacking platform.
    • Introduction to basic commands and common tools available in Kali.

Module 4: Reconnaissance and Information Gathering

  • Lesson 8: Information Gathering (Reconnaissance)
    • Types of reconnaissance: Active vs. passive.
    • Introduction to OSINT (Open Source Intelligence).
  • Lesson 9: Tools for Reconnaissance
    • Using Nmap for network scanning and mapping.
    • Google Dorking, WHOIS queries, and Shodan for information gathering.
  • Lesson 10: Social Engineering Basics
    • Understanding social engineering attacks.
    • Techniques like phishing and pretexting to gain sensitive information.

Module 5: Scanning Networks and Vulnerability Assessment

  • Lesson 11: Network Scanning Techniques
    • How to scan networks for open ports and services using tools like Nmap.
    • Identifying live hosts and services.
  • Lesson 12: Vulnerability Scanning and Assessment
    • Overview of vulnerability scanners like Nessus and OpenVAS.
    • How to assess vulnerabilities and potential exploits in a network.
  • Lesson 13: Hands-On Exercise: Scanning a Target Network
    • Perform a network scan to identify open ports and running services.

Module 6: Exploitation Techniques

  • Lesson 14: Introduction to Exploitation
    • How ethical hackers use exploits to test security vulnerabilities.
    • Introduction to Metasploit for exploitation.
  • Lesson 15: Web Application Security
    • Understanding common web application vulnerabilities like SQL injection and Cross-Site Scripting (XSS).
    • Demonstrating how these vulnerabilities are exploited.
  • Lesson 16: Buffer Overflow Attacks
    • Understanding buffer overflow attacks and how to exploit them.
    • Techniques for exploiting buffer overflow vulnerabilities.

Module 7: Post-Exploitation and Privilege Escalation

  • Lesson 17: Post-Exploitation Techniques
    • What happens after exploiting a vulnerability?
    • Techniques for maintaining access to compromised systems.
  • Lesson 18: Privilege Escalation
    • How attackers escalate privileges to gain full control of a system.
    • Techniques for privilege escalation on Windows and Linux systems.
  • Lesson 19: Persistence and Lateral Movement
    • Methods for creating persistence in compromised systems.
    • Moving laterally through networks to gain access to other systems.

Module 8: Using Ethical Hacking Tools

  • Lesson 20: Metasploit Framework
    • Introduction to Metasploit for penetration testing.
    • Exploiting vulnerabilities and launching attacks using Metasploit.
  • Lesson 21: Wireshark for Network Analysis
    • Capturing and analyzing network traffic using Wireshark.
    • How to detect potential security threats and attacks using Wireshark.
  • Lesson 22: Burp Suite for Web Application Testing
    • Introduction to Burp Suite for web application security testing.
    • Using Burp Suite to find and exploit web application vulnerabilities.
  • Lesson 23: Password Cracking with John the Ripper
    • How to use John the Ripper to crack weak passwords.
    • Best practices for securing passwords.

Module 9: Legal and Ethical Considerations

  • Lesson 24: Legal Implications of Hacking
    • Understanding the laws governing ethical hacking.
    • Introduction to the Computer Fraud and Abuse Act (CFAA) and GDPR.
  • Lesson 25: Ethical Guidelines for Ethical Hackers
    • Importance of maintaining an ethical mindset.
    • Best practices for staying within legal and ethical boundaries.

Module 10: Reporting and Remediation

  • Lesson 26: Writing Vulnerability Reports
    • How to document findings from penetration tests and ethical hacking engagements.
    • Structuring a vulnerability report with remediation suggestions.
  • Lesson 27: Remediation Strategies
    • Understanding how to fix vulnerabilities and harden systems.
    • Best practices for securing networks and applications.
  • Lesson 28: Final Project: Ethical Hacking Simulation
    • Conducting a simulated ethical hacking engagement from start to finish.
    • Submitting a comprehensive report with findings and recommendations.

6 reviews for Introduction to Artificial Intelligence (AI)

  1. Taiye

    “This ‘Introduction to Artificial Intelligence (AI)’ course exceeded my expectations! The comprehensive content and interactive learning format allowed me to grasp complex concepts with ease. The expert instructors provided valuable insights and real-world examples, making the learning process both engaging and informative. I highly recommend this course to anyone looking to gain a strong foundation in AI and its practical applications.”

  2. Chinedu

    “This introductory course in AI exceeded my expectations. The content was well-organized and easy to follow, providing a comprehensive understanding of the fundamental concepts. The interactive exercises and real-world examples made the learning process engaging and practical. The instructor was knowledgeable and responsive, creating a supportive and enthusiastic learning environment. Overall, I highly recommend this course to anyone looking to gain a solid foundation in AI.”

  3. Mojisola

    “This course was a transformative experience that opened my eyes to the incredible potential of Artificial Intelligence (AI). The well-structured curriculum and expert instructors made complex concepts easily understandable. I particularly appreciated the hands-on exercises, which allowed me to apply my knowledge in real-world scenarios. By the end of the course, I felt empowered to explore AI further and pursue opportunities in this rapidly growing field.”

  4. Olajumoke

    “This ‘Introduction to Artificial Intelligence’ online course was simply incredible! The content was well-structured and engaging, covering the fundamentals of AI with clarity. The instructors’ expertise shone through, making the concepts easily understandable. The interactive exercises and hands-on projects allowed me to apply my learning immediately, fostering a deep grasp of AI’s potential and applications. I highly recommend this course to anyone who seeks to gain a comprehensive understanding of the exciting field of Artificial Intelligence.”

  5. Bawa

    “This ‘Introduction to Artificial Intelligence (AI)’ course was an incredible learning experience. The instructors’ expertise and clear explanations made the complex concepts of AI approachable and engaging. The interactive exercises and hands-on projects allowed me to apply my knowledge in practical scenarios, fostering a deep understanding of the subject matter. The supportive community and access to resources created an optimal learning environment, empowering me with the confidence to navigate the field of AI.”

  6. Nsikak

    “This ‘Introduction to Artificial Intelligence (AI)’ course exceeded my expectations! The expert instructors provided clear and engaging content, breaking down complex AI concepts into digestible modules. The interactive simulations and hands-on exercises allowed me to apply my understanding practically. I gained valuable insights into AI algorithms, applications, and ethical considerations. The course enhanced my knowledge and fueled my enthusiasm for the future of AI.”

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