Aspire Journeys
753 AI Adoption Specialist Basic KSAT Journey
- 20 Courses | 22h 21m 19s
Facilitates AI adoption by supporting the users of AI-enabled solutions.
753 AI Adoption Specialist Basic
Facilitates AI adoption by supporting the users of AI-enabled solutions.
- 20 Courses | 22h 21m 19s
COURSES INCLUDED
Agile Organizations: Cloud for Agile Software Development
The cloud has various deployment and service models that can be combined with Agile software development methodologies to help your organization design and create your very own cloud strategy based on your organization's needs. In this course, you'll learn about Agile software development, cloud management, cloud identity and access management, the cloud physical infrastructure, the cloud logical infrastructure, and cloud privacy. Next, you'll examine the available cloud deployment models such as public, private, hybrid, community, and virtual public clouds, as well as multi-cloud and multitenancy environments. You'll then move on to explore cloud service models such as Infrastructure as a Service, Platform as a Service, and Software as a Service. Finally, you'll learn about advanced topics such the Internet of Things.
14 videos |
1h 18m
Assessment
Badge
Ethical, Privacy, & Intellectual Property Considerations for ChatGPT
In the spirit of exploring the exciting possibilities of generative AI, this course was built using several AI technologies alongside Skillsoft's trusted design methodologies. Generative AI was used to draft the curriculum plan and on-screen text, while AI text-to-speech services were used for narration. In addition, generative AI was used to produce the course assessment and AI assistive technologies helped translate the course captions into multiple languages. In this course, we will define ethical AI and explore the ethical considerations and challenges surrounding advanced AI models. Next, we will examine the potential consequences of using AI and ChatGPT, the impact on society and culture, and the importance of transparency and accountability. Then we will investigate the impact of AI models on privacy and security, the ethical considerations for developing and deploying AI models, and the importance of understanding the risks involved in sharing sensitive intellectual property. Finally, we will discover the roles of government, industry, and society in regulating AI models and how to protect company data.
14 videos |
35m
Assessment
Badge
Azure AI Fundamentals: Artificial Intelligence & Machine Learning
Artificial Intelligence and machine learning in particular are solving a significant number of business and social problems and giving computers a new way to handle and process vast amounts of data. In this course, you'll learn about AI and machine learning concepts regarding regression, classification, and clustering algorithms. You'll explore how to manage datasets and work with labeled versus unlabeled data. You'll learn how supervised and unsupervised machine learning can be used, as well as how to build and use AIs safely, transparently, and fairly. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.
18 videos |
1h 43m
Assessment
Badge
Azure Fundamentals: IoT & AI
This 11-video course describes the Internet of Things (IoT) and artificial intelligence (AI) services available in Microsoft Azure, and what significant value Azure brings to an organization. The course opens with a detailed overview of what IoT is, as well as defining IoT central, IoT hub, and IoT edge, before drawing relationships between those components. Learners will become able to identify what Azure IoT solution accelerators are and when they should be used-in medical device tracking, in registering and tracking information related to industrial machinery controls, or remote control of building services, for instance. Next, you will learn about Azure cognitive services, and how users can work with and analyze data in the machine learning studio. In the concluding exercise, learners will begin by describing IoT; describing when the Azure IoT Hub should be used; and describing the purpose of IoT solution accelerators. You will be asked to list three examples of how artificial intelligence can be used through Azure. This is one of a series of courses to help learners prepare for the AZ-900: Azure Fundamentals certification exam.
11 videos |
32m
Assessment
Badge
CompTIA IT Fundamentals: Basic IT Concepts
Computers are an integral part of our lives, both personally and professionally. In a few short decades, they have become so indispensable that understanding how they work and how to use them has become imperative. In this course, you will be introduced to basic information technology (IT) concepts, beginning with common numbering systems used by computers and the two international data standards. Then you will explore the character and numerical data types used in computer programming. Finally, you will learn about the basics of computer processing, inputs and outputs, the role of computer storage, and how it works. This course helps prepare learners for the CompTIA IT Fundamentals (ITF+) certification exam, FC0-U61.
15 videos |
1h 49m
Assessment
Badge
CompTIA IT Fundamentals: CIA Triad
Computer data is created at a rate that we can barely comprehend. Much of that information is immensely useful and readily available to anyone, but there is a large contingent of information that is and should remain confidential. In this course, you will explore the CIA triad, beginning with the principle of least privilege and concerns surrounding confidentiality, integrity, and availability. Then you will learn about methods for protecting information, including antivirus and antimalware software, firewalls, password security, and safe browsing. Finally, you will discover the importance of patching and updates, best practices for device security, and removing unwanted software. This course helps prepare learners for the CompTIA IT Fundamentals (ITF+) certification exam, FC0-U61.
17 videos |
1h 43m
Assessment
Badge
CompTIA A+ Core 1: Cloud Computing Concepts
Cloud computing allows users to store and access data and programs over the internet instead of a local hard drive. In this course, explore cloud computing concepts such as cloud model types, resource sharing, measure service, and virtual desktops. Discover the features of Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS); and learn how to differentiate between public, private, hybrid, and community cloud infrastructures. Discover key differences between internal and external shared resources and explore rapid elasticity, a feature that allows for scalable provisioning. Finally, examine the considerations and benefits of using a measured service or a metered service and investigate the types of virtual desktops and their purposes. This course will prepare learners for the CompTIA A+ Core 1 (220-1101) certification.
11 videos |
1h 17m
Assessment
Badge
CompTIA A+ Core 2: Information Management & Change Management Processes
Ticketing systems are a great way to collect user and device information, descriptions of problems, and problem resolutions. This course will explore ticketing and asset management systems and how these systems capture information about events and resources. Explore document types such as acceptable use policies, compliance, and network topology diagrams. Discover components of a typical standard operating procedure, including procedures for custom installation of software packages. Next, consider the importance of knowledge base articles and explore best practices for documenting business processes, including rollback plans, sandbox testing, and responsible staff members. Lastly, explore considerations when explaining basic change management best practices. This course is part of a series that will help you prepare for the CompTIA A+ Core 2 (220-1102) certification exam.
11 videos |
55m
Assessment
Badge
Cloud Data Platforms: Cloud Computing
Cloud computing has revolutionized the way we build, deploy, and maintain applications. Due to this paradigm shift, many businesses now rent rather than own IT infrastructure. This new way of approaching infrastructure requirements has given way to multiple cloud computing models, such as Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Function as a Service (FaaS). Knowing what your options are for cloud computing can help you choose the best models for your needs. Use this course to gain a solid foundational understanding of cloud computing. Compare various cloud service providers based on services, available tools, and pricing. Learn about real-life use cases for cloud computing and how businesses can benefit from this ever-evolving technological feat. When you've completed this course, your newfound knowledge of cloud computing will help you decide how it can help your business.
12 videos |
46m
Assessment
Badge
DevOps Platforms and Operations: AIOps & MLOps Basics
MLOps is used to scale and govern machine learning operations, while AIOps provides a way to solve business problems and reduce incident management overhead using AI. In this course, you'll begin with an introduction to what AIOps is and which common IT operations it can be applied to. Discover AIOps capabilities, main business areas which AIOps can be incorporated into, and the benefits to an organization considering adoption. Next, explore various business use cases suitable for AIOps and adoption from a business and technical perspective. Moving on, look at the capabilities provided by MLOps and the benefits of MLOps to a data scientist. Next, explore the steps involved in implementing MLOps including the tools, challenges, and best practices involved. Upon completion of this course, you'll be able to identify the differences between AIOps, MLOps, and DevOps.
14 videos |
1h 25m
Assessment
Badge
MLOps with MLflow: Getting Started
MLflow plays a crucial role in systemizing the machine learning (ML) workflow by providing a unified platform that seamlessly integrates different stages of the ML life cycle. In the course, you will delve into the theoretical aspects of the end-to-end machine learning workflow, covering data preprocessing and visualization. You will learn the importance of data cleaning and feature engineering to prepare datasets for model training. You will explore the MLflow platform that streamlines experiment tracking, model versioning, and deployment management, aiding in better collaboration and model reproducibility. Next, you will explore MLflow's core components, understanding their significance in data science and model deployment. You'll dive into the Model Registry that enables organized model versioning and explore MLflow Tracking as a powerful tool for logging and visualizing experiment metrics and model performance. Finally, you'll focus on practical aspects, including setting up MLflow in a virtual environment, understanding the user interface, and integrating MLflow capabilities into Jupyter notebooks.
13 videos |
1h 27m
Assessment
Badge
Getting Started with MLOps
MLOps is the integration of machine learning (ML) with DevOps, focusing on streamlining the end-to-end machine learning life cycle. It emphasizes collaboration, automation, and reproducibility to deliver reliable and scalable machine learning solutions. By implementing MLOps practices, organizations can efficiently manage and govern their machine learning workflows, leading to faster development cycles, better model performance, and enhanced collaboration among data scientists and engineers. In this course, you will delve into the theoretical aspects of MLOps and understand what sets it apart from traditional software development. You will explore the factors that affect ML models in production and gain insights into the challenges and considerations of deploying machine learning solutions. Next, you will see how the Machine Learning Canvas can help you understand the components of ML development. You will then explore the end-to-end machine learning workflow, covering stages from data preparation to model deployment. Finally, you will look at the different stages in MLOps maturity in your organization, levels 0, 1, and 2. You will learn how organizations evolve in their MLOps journey and the key characteristics of each maturity level.
11 videos |
1h 27m
Assessment
Badge
Planning AI Implementation
This 13-video course explores how artificial intelligence (AI) can be leveraged, how to plan an AI implementation from setup to architecture, and the issues surrounding incorporating it into an enterprise for machine learning. Learners will explore the three legs of AI: how it applies intelligence-like behavior to machines. You will then examine how machine learning adds to this intelligence-like behavior, and the next generation with deep learning. This course discusses strategies for implementation of AI, organizational challenges surrounding the adoption of AI, and the need for training of both personnel and machines. Next, learn the role of data and algorithms in AI implementation. Learners continue by examining several ways in which an organization can plan and develop AI capability; the elements organizations need to understand how to assess AI needs and tools; management challenges; and the impact on personnel. You will learn about pitfalls in using AI, and what to avoid. Finally, you will learn about data issues, data quality, training concepts, overfitting, and bias.
13 videos |
44m
Assessment
Badge
Information Security for Leaders: An Introduction to InfoSec
Information security, often called InfoSec, consists of tools and processes used to protect data and sensitive information from threats and attacks. In this course, explore the history of information security and discover how to differentiate between cybersecurity and information security. Discover common myths and misconceptions about information security and learn about types of information security, such as infrastructure, cloud, application, and incident response. Next, you will explore security threats, including social media attacks, social engineering, malware, and misconfigurations, and common information security and data protection laws. Finally, you will investigate the responsibilities of a Chief Information Security Officer (CISO), including developing sound security practices, identifying security objectives, conducting awareness and training programs, and ensuring regulatory compliance. Upon completion, you'll be able to recognize the importance of information security and the key roles and responsibilities required to protect an organization
15 videos |
1h 18m
Assessment
Badge
Managing Enterprise InfoSec Risks & Risk Tolerance
IT security risks can be defined as a combination of the consequences of an event and the associated likelihood of occurrence. They can be managed by an organization through asset-safeguarding strategies. Through this course, learn about managing enterprise information security (InfoSec) risk and risk tolerance. Explore the definition of risk, how it differs from threats and vulnerabilities, and the history of information security. Next, discover common threats to IT systems and data, how to identify and manage security risks, and the key differences between quantitative and qualitative risk analysis. Finally, learn about common risk assessment tools and the differences between penetration testing and vulnerability assessments. Upon completion, you'll be able to outline and manage IT security risks.
15 videos |
1h 44m
Assessment
Badge
Information Security Practices: Multi-year InfoSec Planning
There is no easy way to predict the future of information security. There are however strategies leaders can implement to better plan and prepare for future growth, security, and threats. In this course, examine potential information security threats, how complexity makes them challenging to predict and plan for, and the threats that ransomware, cybercrime, and the growing crime-as-a-service (CaaS) community pose. Next, discover how work shortages and voids created by skills gaps can cause major issues and the impact of recent global pandemics. Finally, explore operational technology, application container risks, and the evolving risks posed by artificial intelligence and machine learning. Upon completion, you'll be able to plan for the future as an InfoSec leader.
15 videos |
1h 17m
Assessment
Badge
Certified in Cybersecurity (CC): Core Security Principles & Risk Management
It is of high importance that organizations operate upon a solid foundation of security principles, concepts, and risk management. It is impossible to reduce security risk until core security and risk management principles are defined. In this course, explore the elements of the confidentiality, integrity, and availability (CIA) triad, along with the essentials of authentication and using non-repudiation services. Next, examine what risk is and the terminology surrounding risk management, threats, and vulnerability. Finally, learn about risk assessment, identification, and treatment and compare qualitative and quantitative risk analysis. This course prepares learners for the (ISC)2 Certified in Cybersecurity exam.
11 videos |
32m
Assessment
Badge
Certified in Cybersecurity (CC): Security Governance, Policies, & Controls
Security governance is a huge part of overall corporate or organizational governance. The security practitioner must be aware of various governance elements, regulations, laws, standards, policies, and procedures. Begin this course by exploring the elements of governance, including mission charter, leadership, and corporate guidance. Then investigate various laws and regulations like General Data Protection Regulation (GDPR) and HIPAA, standards issued by the International Organization for Standardization and International Electrotechnical Commission (ISO/IEC), and the National Institute of Standards and Technology (NIST), and common policies and standard operating procedures. Next, examine the International Information System Security Certification Consortium (ISC2) code of ethics. Finally, discover security control categories and types. This course prepares learners for the (ISC)2 Certified in Cybersecurity exam.
10 videos |
25m
Assessment
Badge
Certified in Cybersecurity (CC): Business Continuity Planning
Many organizations nowadays have become aware of the need for business continuity planning, also known as continuity of operations. The main objective of a business continuity plan (BCP) is for an organization to maintain organizational operations while recovering from a major interruption. In this course, explore the importance and goals of business continuity and continuity of operations, as well as the components of a business continuity plan. Next, learn about business impact analysis (BIA), backup and restore policies, and disaster recovery plans. Finally, investigate the various tests and drills that incident response and business continuity plans should be subjected to. This course prepares learners for the (ISC)2 Certified in Cybersecurity exam.
10 videos |
30m
Assessment
Badge
Certified in Cybersecurity (CC): Networking & Security Infrastructure
Although new security practitioners can come from development, database, or other backgrounds, the majority of security professionals come from a networking background. It is virtually impossible to separate networking knowledge from security expertise. Begin this course by exploring network types, network devices, and device addressing mechanisms. Then you will discover the Open Systems Interconnection (OSI) and Transmission Control Protocol/Internet Protocol (TCP/IP) reference models, logical ports, and the TCP handshake. Next, you will focus on transport layer security (TLS) and IP security (IPsec). Finally, you will examine virtual LANs (VLANs) and Wi-Fi fundamentals. This course prepares learners for the (ISC)2 Certified in Cybersecurity exam.
12 videos |
45m
Assessment
Badge
EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE TRACKS
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.
