فهرست مطالب

• AI for Everyday IT
• brief contents
• contents
• foreword
• preface
• acknowledgments
• about this book
• Who should read this book
• How this book is organized: A road map
• About the code
• Software requirements
• liveBook discussion forum
• Other online resources
• about the author
• about the cover illustration
• Part 1 Introduction to AI
• 1 Artificial intelligence in IT
• 1.1 Generative AI changes everything
• 1.2 The elephant in the server room
• 1.3 Strengthening your skill set
• 1.4 An introduction to generative AI
• 1.5 Service costs
• 1.6 Using AI responsibly at work
• 1.7 How we are using AI
• 1.8 Prompts used in this chapter
• Summary
• 2 Chatbots: Tasks and tips
• 2.1 Chatbots and conversational AI
• 2.2 Text-to-image AI models
• 2.3 Prompts used in this chapter
• 2.4 Summary
• 3 Basic intelligence
• 3.1 Defining the terms
• 3.2 Everything you never wanted to know about tokens
• 3.3 When good bots go bad
• 3.4 Free vs. premium accounts
• 3.5 Prompts used in this chapter
• Summary
• 4 Prompt engineering and problem formulation
• 4.1 Prompt engineering
• 4.2 The spectrum of AI prompting
• 4.3 The mechanics of a good prompt
• 4.4 Introductory prompts for IT roles
• 4.5 Advanced techniques
• 4.6 Best practices and common mistakes
• 4.7 Problem formulation
• 4.8 Incorporating problem formulation
• 4.9 Prompts used in this chapter
• Summary
• 5 Prompts in action
• 5.1 Prompt engineering in action
• 5.2 Problem formulation in action
• Summary
• 6 Document handling
• 6.1 Best practices for document handling with AI
• 6.2 Ethics in AI document handling
• 6.3 Document summarization
• 6.4 Format conversion
• 6.5 Text extraction from images
• 6.6 Document comparison
• 6.7 Document classification and tagging
• 6.8 Document anonymization
• 6.9 Language translation
• 6.10 Prompts used in this chapter
• Summary
• 7 Emails and instant messaging in the workplace
• 7.1 Enhancing email management with AI
• 7.2 Using AI in instant messaging
• 7.3 Integrations and automation with AI
• 7.4 Improving your writing while maintaining your voice
• 7.5 Maintaining critical thinking and good judgement
• 7.6 The future of AI communications
• 7.7 Prompts used in this chapter
• Summary
• Part 2 IT operations and AI
• 8 IT support and service desk
• 8.1 Service desk therapy
• 8.2 Technical support
• 8.3 Custom GPTs
• 8.4 The future of the service desk: Agents
• 8.5 Prompts used in this chapter
• Summary
• 9 Systems administration
• 9.1 Change request
• 9.2 More distros, more problems
• 9.3 Multiserver administration
• 9.4 Renaming files
• 9.5 Analyzing error logs: Identifying exceptions and failures
• 9.6 Automating tasks for efficiency and compliance
• 9.7 Auditing configuration files with AI
• 9.8 Existing AI in systems engineering
• 9.9 Prompts used in this chapter
• Summary
• 10 Database administration and development
• 10.1 Query and object creation basics
• 10.2 Query optimization
• 10.3 Code documentation
• 10.4 Heterogeneous database environments
• 10.5 Maintenance jobs
• 10.6 Advanced administration
• 10.7 Prompts used in this chapter
• Summary
• Part 3 Development and AI integration
• 11 Code assistants and development tools
• 11.1 Privacy and security
• 11.2 Understanding the value of existing skills
• 11.3 GitHub AI suite
• 11.4 Cline
• 11.5 Cursor AI
• 11.6 Google Project IDX
• 11.7 Aider
• 11.8 Summary comparison of code assistants
• 11.9 Best practices for AI-assisted development
• 11.10 Prompts used in this chapter
• Summary
• 12 AI in DevOps engineering
• 12.1 Practical AI use cases in DevOps
• 12.2 Upgrading nearly 7,000 tests: A real-world AI project
• 12.3 The GenAIOps lifecycle
• 12.4 Prompts used to write this chapter
• Summary
• 13 Building AI-powered applications
• 13.1 Function calling
• 13.2 The functions
• 13.3 Validating SQL queries with examine_sql
• 13.4 Practical applications and security considerations
• 13.5 Prompts used in this chapter
• Summary
• Part 4 Leadership and growth with AI
• 14 Conflict resolution and crisis management
• 14.1 Addressing workplace conflicts
• 14.2 Crisis management
• 14.3 Prompts used to write this chapter
• Summary
• 15 Management essentials
• 15.1 Policies and benefits
• 15.2 Career development and growth
• 15.3 Performance reviews
• 15.4 Prompts used in this chapter
• Summary
• 16 Management interventions
• 16.1 Management intervention guidelines
• 16.2 Team cohesion
• 16.3 Interviewing candidates
• 16.4 Time management for the hands-on technical manager
• 16.5 Prompts used in this chapter
• Summary
• 17 Career advancement
• 17.1 Leading AI adoption in the organization
• 17.2 Training and certifications
• 17.3 External career advancement
• 17.4 Ethical considerations and best practices
• 17.5 Putting it all together
• 17.6 Prompts used in this chapter
• Summary
• appendix A Local AI models: An accessible alternative
• A.1 Getting your hardware ready
• A.2 Tools for simplifying local AI setup
• A.3 Popular local AI models
• A.4 Bringing it all together: Security and ethical considerations
• appendix B OpenAI GPT Actions
• B.1 A practical example: Using database monitoring APIs
• B.2 Real-world example: Using GPT Actions with the OpenAI API
• B.3 Security considerations for GPT Actions
• B.4 Combining GPT Actions with function calling
• index
• AI for Everyday IT - back