By the end of this course, you will be able to:

• Define Smart Contract and ICO (Initial Coin Offering)
• Categorize various Smart Security Considerations
• Explain key issues in regulating blockchain parameters & permission management
• Discuss the guiding principles of various plans, data security and risk from theft & hacking attempts
• Solve hands-on exercise on cryptography and how it works in real life
• Outline Public Key Cryptography and it's working in Blockchain
• Identify the challenges to Bitcoin and Silk Road
• Describe various consensus mechanisms like Proof of Work (POW), Proof of Stake (POS), Practical Byzantine Fault Tolerance (PBFT)

By the end of this course, you will be able to:

• Define various social media network analysis tools and techniques
• Analyse and investigate social media using open source tools
• Categorise various fake profiles from genuine ones
• Explain key cyber security issues in social media/networks
• Discuss the guiding principles of various security and risk from theft and hacking attempts
• Solve hands-on exercises on analysing various social media profiles and learn how this process works in real life
• Outline tools that work in real life using social media
• Identify the challenges to investigators and how to overcome these challenges
• Describe various SMI methods for Twitter, Instagram, Facebook, LinkedIn, Reddit and more

On the successful completion of this course, you will be able to;

• Analyze, pentest and investigate API security vulnerabilities
• Analyze and hack APIs using Burp Suite
• Categorize and uncover security risks in APIs
• Recognize intel and learn to use powerful query, proxy and ethical hacking tools for pentesting APIs
• Describe security loopholes in APIs and conduct ethical hacks
• Identify and gather info on an API’s cyber risk
• Evaluate sensitive databases by pentesting APIs
• Discuss the guiding principles and major security risks from theft and hacking attempts
• Solve hands-on exercises and see how hacking works in real life

By the end of this course, you will be able to:

• Define various artificial intelligence (AI), machine learning (ML) types and modules
• Analyse and ethically hack systems using ChatGPT
• Describe various online scams and explain how to overcome them using ChatGPT
• Explain the key role of Open AI's ChatGPT and how it may change the way we think and work
• Recognise the guiding principles of different security measures and the risk of theft and hacking attempts
• Analyse several AI and ML modules on ethical hacking and explain how it functions in the real world by completing a hands-on practice exercise
• Outline cybersecurity tools and explain how they work in live environments for ethical hacking and security
• Identify the challenges in facing pentesters and provide ways to overcome them
• Describe ways that powerful technology could be abused and outline viable safety measures to prevent such abuse

By the end of this course, you will be able to:

• Define risk and identify the different types of risk
• Assess the likelihood and impact of risks
• Outline and implement risk mitigation strategies
• Review and evaluate the effectiveness of risk mitigation strategies
• State risk management findings to stakeholders
• Plan for and respond to risk events
• Apply risk management principles to real-world scenarios
• Translate risk management into organizational strategy and planning
• Relate risk management to the external environment, such as industry trends and regulatory requirements
• Generate, develop, and implement risk management policies and procedures
• Identify and assess emerging risks
• Match risk management methodologies to specific organizational needs

By the end of this course, you will be able to:

• Apply XAI techniques to explain the predictions of AI models
• Arrange data in a way that is easy to understand and interpret
• Change the features of data to improve the accuracy of AI models
• Classify data into different classes
• Create visualizations of data to make it easier to understand
• Describe the different types of XAI techniques
• Illustrate the different concepts of XAI with diagrams and examples
• List the different steps involved in the XAI process
• Plan a project to apply XAI techniques to a real-world problem
• Analyze data to identify patterns and trends
• Select the most appropriate XAI technique for a given real-world problem
• Relate the concepts of XAI to other fields of study, such as statistics and machine learning

By the end of this course, you will be able to:

• Analyze the different types of generative AI models and their applications
• Apply generative AI techniques to solve real-world problems
• Categorize different types of data and generate new data from them
• Compute the likelihood of different outcomes using generative AI models
• Define the terms and concepts related to generative AI
• Distinguish between different types of generative AI models
• Label data using generative AI models
• Solve problems using generative AI techniques
• Estimate the time and resources required to implement generative AI solutions
• Create new data, images, and texts using generative AI models
• Recognize the different types of generative AI models
• Translate the concepts of generative AI into different languages