733 AI Risk & Ethics Specialist Advanced KSAT Journey

The world of technology continues to transform at a rapid pace, with intelligent technology incorporated at every stage of the business process. Intelligent information systems (IIS) reduce the need for routine human labor and allow companies to focus instead on hiring creative professionals. In this course, you'll explore the present and future roles of intelligent informational systems in AI development, recognizing the current demand for IIS specialists. You'll list several possible IIS applications and learn about the roles AI and ML play in creating them. Next, you'll identify significant components of IIS and the purpose of these components. You'll examine how you would go about creating a self-driving vehicle using IIS components. Finally, you'll work with Python libraries to build high-level components of a Markov decision process.

Any aspiring AI developer has to clearly understand the responsibilities and expectations when entering the industry in this role. AI Developers can come from various backgrounds, but there are clear distinctions between this role and others like Software Engineer, ML Engineer, Data Scientist, or AI Engineers. Therefore, any AI Developer candidate has to posses the required knowledge and demonstrate proficiency in certain areas. In this course you will learn about the AI Developer role in the industry and compare the responsibilities of AI Developers with other engineers involved in AI development. After completing the course, you will recognize the mindset required to become a successful AI Developer and become aware of multiple paths for career progression and future opportunities

Designing successful and competitive AI products involves thorough research on its existing application in various markets. Most large scale businesses use AI in their workflows to optimize business operations. AI Architects should be aware of all possible applications of AI so they can look at market trends and come up with the most appropriate, novel, and useful AI solutions for their industry. In this course, you'll explore examples of standard AI applications in various industries like Finance, Marketing, Sales, Manufacturing, Transportation, Cybersecurity, Pharmaceutical, and Telecommunications. You'll examine how AI is utilized by leading AI companies within each of these industries. You'll identify which AI technologies are common across all industries and which are industry-specific. Finally, you'll recognize why AI is imperative to the successful operation of many industries.

Optimization is required for any AI model to deliver reliable outcomes in most of the use cases. AI Practitioners use their knowledge of optimization techniques to choose and apply various solutions and improve accuracy of existing models. In this course, you'll learn about advanced optimization techniques for AI Development, including multiple optimization approaches like Gradient Descent, Momentum, Adam, AdaGrad and RMSprop optimization. You'll examine how to determine the preferred optimization technique to use and the overall benefits of optimization in AI. Lastly, you'll have a chance to practice implementing optimization techniques from scratch and applying them to real AI models.

Even with several years of practical experience in the security field, knowledge and application of specific security concepts and principles may have eluded even the seasoned security professional. Use this course to brush up on some of the vital, core security principles, such as confidentiality, integrity, and non-repudiation. Be reminded of the critical role of security design in the ISO OSI 7-layer Reference Model and the 4-layer TCP/IP Reference Model. Upon completion of this course, you'll be fully attuned to the most fundamental aspects of security. Furthermore, you can use this course to prepare for the CISSP exam.

A security professional must be familiar with risk management concepts to be able to apply them effectively. Use this course to explore the management of risks to tangible and intangible assets. Get familiar with the details of vulnerability and risk assessment, countermeasure selection and implementation, and risk frameworks. This course will also help you examine the monitoring, measuring, and reporting of risk and delve further into threat modeling and supply chain risk management (SCRM). You'll have an understanding of risk management fundamentals and how to apply them after completing this course. Moreover, you can also use this course to prepare for the CISSP exam.