FIO

LOGU

Foundations in AI for IT Department

 This course explores how AI technologies can be applied specifically within the IT department to streamline processes, enhance efficiency, and foster innovation.

Duration - 2 Hours

Table for Course Outline:

Module NameDurationDescription
AI for Network Management24AI in Software Development
Data Management with AI24AI applications in managing and securing data.
AI for System Monitoring24AI tools for system performance and health monitoring.
AI in Client Services24Enhancing client interactions using AI technologies.
AI in Software Development24Utilizing AI to improve software development processes.

At least 5 examples of AI applications in IT:

1. Automated Code Review and Bug Detection.
2. AI-Enhanced Cybersecurity Systems.
3. Predictive Analytics for Network Health.
4. AI-Driven Configuration Management.
5. Virtual Customer Assistants for IT Support.

Role-Based Courses:
Roles: Project Manager, QA Manager, Software Developer, Data Scientist/AI Expert, CTO/CIO.

Project Manager (2 hours)

Course Name: AI in IT Project Management
Learning Outcomes: Learn how AI can be integrated into project management practices to improve efficiency, predict project outcomes, and manage resources.

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
AI for Project Planning20Using AI to optimize project planning and scheduling.Microsoft Project (paid)
AI in Infrastructure and Operations20AI applications in overseeing IT operations and infrastructure.Dynatrace (paid)
AI in Project Risk Management20Utilizing AI to identify, assess, and mitigate risks throughout the project lifecycle, enhancing decision-making and reducing uncertainties.Oracle Risk Management Cloud (paid)
Hands - on 60Developing AI tools to automate project management tasks.Custom Agent Building

AI Tools:

• Microsoft Project: Microsoft Project incorporates AI to help project managers forecast project timelines, allocate resources efficiently, and track progress.

• Dynatrace: Dynatrace uses AI to automate IT operations management, providing real- time analytics and problem resolution.

• Oracle Risk Management: Oracle Risk Management Cloud is a comprehensive suite designed to enhance financial and operational risk management. For IT Project Managers, this tool offers advanced AI capabilities that can be leveraged to detect and mitigate risks in IT projects.

QA Manager (2 hours)

Course name: AI in Quality Assurance Management

Learning Outcomes: Participants will learn how AI can be leveraged to enhance software testing, improve quality assurance processes, and reduce manual testing efforts.

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
AI for Automated Testing20Implementing AI to automate and optimize test cases.Testim (paid)
AI in Bug Detection and Management20Using AI to identify and manage software bugs more efficiently.Bugsnag (paid)
AI-Driven Performance Management20Leveraging AI to monitor, analyze, and enhance the performance of applications, ensuring optimal operation and user experience.Dynatrace (paid)
Hands - on 60Practical session to create AI-driven QA tools.Custom Agent Building

AI Tools:

• Testim: Testim uses AI to create, run, and manage automated tests, significantly reducing the time and effort required for QA processes.
• Bugsnag: Bugsnag employs AI to automatically detect and categorize bugs, helping QA teams prioritize bug fixes effectively.

• Dynatrace: Dynatrace uses AI to automate IT operations management, providing real- time analytics and problem resolution.

Software Developer (2 hours)

Course name: AI for Software Development

Learning Outcomes: This course will teach developers how AI can be used to improve code efficiency, automate routine tasks, and innovate in software design.

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
AI in Code Review20Using AI to enhance code quality and review efficiency.DeepCode (free)
AI for Automated Programming20Implementing AI tools to automate coding tasks.Kite (free)
AI-Assisted Code Completion and Refinement20Using AI to provide real-time code suggestions and improvements, streamlining the coding process and reducing development time.GitHub Copilot (paid)
Hands-on60Developing AI tools to assist in coding and debugging.Custom Agent Building

Brief explanation for all the specific AI tools mentioned above:

• DeepCode: DeepCode uses AI to analyze code and identify potential improvements and errors more accurately than traditional methods.
• Kite: Kite applies AI to provide real-time code completion and documentation, speeding
up the development process.
• GitHub Copilot: GitHub Copilot is an AI-powered code completion tool that provides suggestions for whole lines or blocks of code as developers type, effectively acting as a pair programmer.

Data Scientist/AI Expert (2 hours)

Course Name: AI for Advanced Legal Analysis
Learning Outcomes: This course trains Legal Analysts in using AI to conduct deep legal research, analysis, and forecast legal trends.

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
Machine Learning Models20Developing and training AI models to solve complex problems.TensorFlow (free)
AI for Big Data Analytics20Leveraging AI to extract insights from large data sets.H2O.ai (free)
Automated Model Selection20Exploring how AI can be used to automatically select the best machine learning models for specific datasets and problems, optimizing both accuracy and efficiency in model deployment.AutoML by Google Cloud (paid)
Hands-on 60Practical application of AI in real-world data scenarios.Custom Agent Building

Brief explanation for all the specific AI tools mentioned above:

• TensorFlow: TensorFlow provides developers with tools to build and train machine learning models effectively, enhancing their capability to tackle complex datasets.
• H2O.ai: H2O.ai offers an open-source platform for performing advanced data analysis and predictive modeling using machine learning.
• AutoML by Google Cloud: Google Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. AutoML uses advanced techniques to automatically select, train, and tune a model based on the provided dataset.

CTO/CIO (2 hours)

Course Name: Strategic AI Implementation for CTOs and CIOs
Learning Outcomes: Executives will understand how to strategically deploy AI within theirorganizations to drive digital transformation and technological innovation.

Table for Course Outline:

Module NameDurationDescriptionSome AI Tools Related to the Module
Leading AI Strategy20Formulating and leading AI strategies for organizational growth.Monday.com (paid)
AI in IT Governance20Integrating AI governance to ensure ethical and effective use.SAS for IT Governance (paid)
AI for Enterprise Architecture Optimization20Exploring how AI can be applied to analyze, optimize, and evolve the enterprise architecture to support business objectives, increase agility, and enhance operational efficiency.MEGA HOPEX (paid)
Hands-on60Building AI strategies in practice.Custom Agent Building

Brief explanation for all the specific AI tools mentioned above:

• Monday.com: Monday.com utilizes AI to help CTOs and CIOs plan, execute, and track IT strategies more effectively.
• SAS for IT Governance: SAS for IT Governance offers tools to manage IT operations and ensure compliance with regulations through AI-driven insights.
• MEGA HOPEX: MEGA HOPEX is a powerful enterprise architecture tool that integrates AI capabilities to provide insights and recommendations for optimizing the IT landscape. It helps CIOs and CTOs to map out and understand their current IT infrastructure and processes, and leverages AI to simulate changes, predict the impacts of these changes, and suggest optimizations.