09-05-2024, 12:42 AM
![[Image: 7e3fbfdee9693a71e2caddf2e2df7c11.jpg]](https://i123.fastpic.org/big/2024/0905/11/7e3fbfdee9693a71e2caddf2e2df7c11.jpg)
Generative Ai For Devops Engineers
Published 7/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 906.66 MB | Duration: 2h 33m
Gen AI for DevOps and DevSecOps Engineers | Learn about Basics of Gen AI | Use Gen AI Models Online and on Local Machine
[b]What you'll learn[/b]
Understand AI and ML Fundamentals
Utilize Generative Models for DevOps and DevSecOps tasks
Implement Prompt Engineering
Apply Python SDKs for AI Integration
Execute Real-World Case Studies for DevOps and DevSecOps tasks
[b]Requirements[/b]
Basic Understanding of DevOps
Fundamental Knowledge of Python
[b]Description[/b]
Unlock the future of DevOps with our comprehensive course, "Mastering Generative AI for DevOps Engineers." This program is designed to bridge the gap between AI theory and practical applications, equipping you with the skills to leverage generative AI in your DevOps and DevSecOps workflows.Course Highlights:Foundations of AI and ML: Begin with a solid understanding of artificial intelligence and machine learning, including their types and core principles. Learn the basics of generative models and how they can be applied in the DevOps domain.Exploring Generative Models: Dive into the workings of models like ChatGPT and Copilot. Understand their architecture, capabilities, and how they can enhance your DevOps practices.Prompt Engineering: Gain expertise in prompt engineering to effectively communicate with AI models. Learn techniques to craft prompts that elicit precise and useful responses for various DevOps tasks.AI Model Integration with Python: Discover how to use generative AI models with Python SDKs, even without internet connectivity. Learn to implement and utilize these models in your local environment for maximum flexibility and security.Case Study Implementation: Apply your knowledge in a practical case study. Develop a personal GPT model to read and analyze log files, identifying errors and providing actionable insights for DevOps and DevSecOps tasks.Hands-On Learning: Engage in interactive exercises and real-world scenarios to reinforce your learning. Develop your own AI-driven solutions and see how generative models can address specific challenges in DevOps environments.Who Should Enroll:This course is tailored for DevOps engineers, IT professionals, and technologists eager to integrate generative AI into their workflows. Whether you're new to AI or looking to expand your knowledge, this course will provide you with practical skills and insights to enhance your DevOps practices.Join us to explore how generative AI can transform your DevOps operations and gain a competitive edge with innovative, AI-driven solutions!
Overview
Section 1: Introduction
Lecture 1 Introduction and Agenda
Section 2: GenAI Basics
Lecture 2 Agenda Items of this section
Lecture 3 Generative AI - Understanding and some use cases
Lecture 4 Generative AI - Basic Terms
Lecture 5 Understanding Model in layman terms
Lecture 6 What are Tokens and Embeddings in AI Models?
Lecture 7 Prompt Engineering: Strategies and Practical Examples in DevOps and DevSecOps
Lecture 8 Let's understand the ML type, Algorithm and Model in ChatGPT
Lecture 9 Let's understand the ML type, Algorithm and Model in Dall-E
Lecture 10 Let's understand the ML type, Algorithm and Model in Github Copilot
Lecture 11 Hands-On: Completing your DevOps tasks using GenAI Systems
Lecture 12 Hands-On: Completing your DevSecOps tasks using GenAI Systems
Section 3: Hands-On: Run Gen AI Models on your Local System
Lecture 13 Hands-On: Prerequisites for running Generative AI Model on Local System - Part 1
Lecture 14 Hands-On: Prerequisites for running Generative AI Model on Local System - Part 2
Section 4: Implement a Case Study using Generative AI on Local System
Lecture 15 Understanding Case Study for DevOps and DevSecOps Engineers
Lecture 16 Prerequisites for PersonalGPT - Install C++ Build Tools on Windows machine
Lecture 17 Prerequisites for PersonalGPT - Install Ollama to download and run Models
Lecture 18 Prerequisites for PersonalGPT - Install Conda for an isolated Python environment
Lecture 19 Clone My PersonalGPT Repo on Local System
Lecture 20 Hands-On: Implementing our PersonalGPT on Local System-Part 1
Lecture 21 Hands-On: Implementing our PersonalGPT on Local System-Part 2
Section 5: Next Steps
Lecture 22 Bonus Lecture
DevOps Engineers,DevSecOps Engineers,IT Engineers,Technologists and Engineers,Machine Learning Enthusiasts,Automation and Security Professionals
![[Image: esus5m32_o.jpg]](https://images2.imgbox.com/23/ad/esus5m32_o.jpg)
[b]What you'll learn[/b]
Understand AI and ML Fundamentals
Utilize Generative Models for DevOps and DevSecOps tasks
Implement Prompt Engineering
Apply Python SDKs for AI Integration
Execute Real-World Case Studies for DevOps and DevSecOps tasks
[b]Requirements[/b]
Basic Understanding of DevOps
Fundamental Knowledge of Python
[b]Description[/b]
Unlock the future of DevOps with our comprehensive course, "Mastering Generative AI for DevOps Engineers." This program is designed to bridge the gap between AI theory and practical applications, equipping you with the skills to leverage generative AI in your DevOps and DevSecOps workflows.Course Highlights:Foundations of AI and ML: Begin with a solid understanding of artificial intelligence and machine learning, including their types and core principles. Learn the basics of generative models and how they can be applied in the DevOps domain.Exploring Generative Models: Dive into the workings of models like ChatGPT and Copilot. Understand their architecture, capabilities, and how they can enhance your DevOps practices.Prompt Engineering: Gain expertise in prompt engineering to effectively communicate with AI models. Learn techniques to craft prompts that elicit precise and useful responses for various DevOps tasks.AI Model Integration with Python: Discover how to use generative AI models with Python SDKs, even without internet connectivity. Learn to implement and utilize these models in your local environment for maximum flexibility and security.Case Study Implementation: Apply your knowledge in a practical case study. Develop a personal GPT model to read and analyze log files, identifying errors and providing actionable insights for DevOps and DevSecOps tasks.Hands-On Learning: Engage in interactive exercises and real-world scenarios to reinforce your learning. Develop your own AI-driven solutions and see how generative models can address specific challenges in DevOps environments.Who Should Enroll:This course is tailored for DevOps engineers, IT professionals, and technologists eager to integrate generative AI into their workflows. Whether you're new to AI or looking to expand your knowledge, this course will provide you with practical skills and insights to enhance your DevOps practices.Join us to explore how generative AI can transform your DevOps operations and gain a competitive edge with innovative, AI-driven solutions!
Overview
Section 1: Introduction
Lecture 1 Introduction and Agenda
Section 2: GenAI Basics
Lecture 2 Agenda Items of this section
Lecture 3 Generative AI - Understanding and some use cases
Lecture 4 Generative AI - Basic Terms
Lecture 5 Understanding Model in layman terms
Lecture 6 What are Tokens and Embeddings in AI Models?
Lecture 7 Prompt Engineering: Strategies and Practical Examples in DevOps and DevSecOps
Lecture 8 Let's understand the ML type, Algorithm and Model in ChatGPT
Lecture 9 Let's understand the ML type, Algorithm and Model in Dall-E
Lecture 10 Let's understand the ML type, Algorithm and Model in Github Copilot
Lecture 11 Hands-On: Completing your DevOps tasks using GenAI Systems
Lecture 12 Hands-On: Completing your DevSecOps tasks using GenAI Systems
Section 3: Hands-On: Run Gen AI Models on your Local System
Lecture 13 Hands-On: Prerequisites for running Generative AI Model on Local System - Part 1
Lecture 14 Hands-On: Prerequisites for running Generative AI Model on Local System - Part 2
Section 4: Implement a Case Study using Generative AI on Local System
Lecture 15 Understanding Case Study for DevOps and DevSecOps Engineers
Lecture 16 Prerequisites for PersonalGPT - Install C++ Build Tools on Windows machine
Lecture 17 Prerequisites for PersonalGPT - Install Ollama to download and run Models
Lecture 18 Prerequisites for PersonalGPT - Install Conda for an isolated Python environment
Lecture 19 Clone My PersonalGPT Repo on Local System
Lecture 20 Hands-On: Implementing our PersonalGPT on Local System-Part 1
Lecture 21 Hands-On: Implementing our PersonalGPT on Local System-Part 2
Section 5: Next Steps
Lecture 22 Bonus Lecture
DevOps Engineers,DevSecOps Engineers,IT Engineers,Technologists and Engineers,Machine Learning Enthusiasts,Automation and Security Professionals
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