Shell GPT On Linux Terminal | ChatGPT | AI | AI on Linux | Tech Arkit


  1. ChatGPT tutorial
  2. GPT-3 chatbot demo
  3. OpenAI ChatGPT explanation
  4. Natural language processing with GPT-3
  5. Conversational AI with ChatGPT
  6. Building chatbots with ChatGPT
  7. ChatGPT use cases
  8. ChatGPT API integration
  9. GPT-3 language generation
  10. ChatGPT vs other chatbots
  11. ChatGPT applications
  12. ChatGPT deep dive
  13. Fine-tuning ChatGPT
  14. ChatGPT for customer support
  15. ChatGPT for content creation
  16. ChatGPT for education
  17. ChatGPT for healthcare
  18. ChatGPT for marketing
  19. ChatGPT for gaming
  20. ChatGPT for legal industry
  21. ChatGPT for e-commerce
  22. ChatGPT for language translation
  23. ChatGPT for chatbot competitions
  24. ChatGPT and ethical concerns
  25. ChatGPT news and updates
  26. ChatGPT case studies
  27. ChatGPT for startups
  28. ChatGPT for small businesses
  29. ChatGPT for developers
  30. ChatGPT for beginners
  31. ChatGPT API walkthrough
  32. Conversational design with ChatGPT
  33. ChatGPT user experiences
  34. ChatGPT user reviews
  35. ChatGPT text generation
  36. ChatGPT voice generation
  37. ChatGPT and the future of AI
  38. ChatGPT research papers
  39. ChatGPT for creative writing
  40. ChatGPT for brainstorming
  41. ChatGPT for content marketing
  42. ChatGPT for virtual assistants
  43. ChatGPT for personal projects
  44. ChatGPT for mobile apps
  45. ChatGPT for web development
  46. ChatGPT integration with Python
  47. ChatGPT and reinforcement learning
  48. ChatGPT in healthcare applications
  49. ChatGPT for chatbot competitions
  50. ChatGPT and the Turing Test

From Linux to AWS - A Comprehensive Guide for Cloud Practitioners


Transitioning from a Linux-based environment to Amazon Web Services (AWS) involves learning new tools, services, and concepts specific to the cloud. Here is the video which covers required services in depth. Video Time Line: -- 11:16 Course Content -- 13:12 What is "The Cloud" -- 29:37 Advantages of Cloud -- 38:57 Cloud Computing Models -- 42:30 Shared Responsibility Model -- 45:43 Cloud Deployment Models -- 50:33 Understanding AWS Global Infrastructure -- Regions -- Availability Zone -- Edge Location -- 59:34 Create your Free Tier Account -- 01:09:14 Enabling Multi-factor Authentication -- 01:12:07 What is EC2? -- 01:14:21 Multiple Ways to Access EC2 Instance -- 01:31:07 Elastic Load Balancing -- Application Load Balancer -- Network Load Balancer -- Gateway Load Balancer -- Classic Load Balancer -- 01:36:16 Creating First Linux EC2 Instance -- 01:43:41 Understanding Lambda (Serverless Compute (FAAS)) -- 01:52:22 AWS Container services -- 01:53:01 AWS Lightsail -- 02:00:06 AWS Simple Storage Service -- 02:25:51 AWS Storage Services -- EBS, EFS and Storage Gateway -- 02:38:25 Content Delivery Network (CDN) -- 02:48:05 VPC - Amazon Virtual Private Cloud. The core AWS Networking service. -- 02:55:29 Creating VPC in Practical -- 02:58:35 AWS Networking Services -- Route53, AWS Direct Connect, VPN, and API Gateway -- 03:11:35 AWS Database Services -- 03:24:15 AWS Migration Services -- DMS (Database Migration Service), SMS (Server Migration Service),Data Sync, and Snow Family -- 03:40:14 Data Warehouse Services -- RedShift -- 03:45:24 AWS Analytics Services -- Athena, AWS Glue, Kinesis, Elastic MapReduce, QuickSight and Data Pipeline -- 03:56:59 AWS Rekognition Demo -- 03:59:54 Artificial Intelligence and Machine Leaning -- 04:11:48 Text-to-Speech Demo -- 04:20:32 AWS Development Services -- Code Deploy, Code Commit, Code Star, Cloud9 and X-Ray -- 04:25:19 Cloud9 Practical -- 04:42:22 Cloud Deployment Tools -- CloudFormation, CDK, Elastic Beanstalk, OpsWorks and IaC (Infrastructure as a Code) -- 04:52:03 CloudFormation Demo -- 04:55:57 Tight Coupling and Loose Coupling -- Messaging services, SNS, SES, SQS, Amazon MQ and EventBridge -- 05:23:36 Auditing, Monitoring and Logging -- CloudWatch and CloudTrail -- 05:33:54 Amazon Contact Center -- VDI Services -- 05:40:59 Security Services -- 05:56:20 AWS Well-Architected Framework -- Six Pillars -- 1. Operational Excellence -- 2. Security -- 3. Reliability -- 4. Performance -- 5. Cost Optimization -- 6. Sustainability -- 06:32:00 Identity and Access Management (IAM) -- 06:56:20 IAM Demo -- 07:09:12 AWS Application Security Services -- 07:25:48 AWS S3 CLI Commands -- 07:33:41 Advanced Security Services -- AWS Config, GuardDuty, Inspector, Artifact, and Cognito -- 07:53:37 Data Encryption Services -- Key Management Service, CloudHSM -- 08:04:35 How AWS Pricing Works? -- 08:24:15 Demo on AWS Billing -- 08:29:04 Governance Services -- 08:51:56 20 Best Tutorial to learn AWS Join this channel to get access to the perks: https://www.youtube.com/channel/UCTok... Follow Us on Social Media 👉 WhatsApp Group: https://bit.ly/TechArkitWhatsAppGroup ✅ Join Telegram Group: http://t.me/linuxarkit 3000 Members Joined ☑ GitHub: https://github.com/techarkit/ 👀 FB Private Group: 5K members https://www.facebook.com/groups/techa... ⚛ Facebook: https://www.facebook.com/techarkit ☯ Twitter: https://twitter.com/tech_arkit ♨ Instagram: https://www.instagram.com/arkit.co.in/ ✌ Patreon: https://patreon.com/techarkit 🌏 Website: https://arkit.co.in ☘ Blog: https://techarkit.blogspot.com/ ✓ Reddit: https://www.reddit.com/r/techarkit 🚩 Tumblr Blog: https://www.tumblr.com/blog/techarkit 🏁 Email: aravikumar48[at]gmail.com 🎌 Quora: https://www.quora.com/q/cxfarqipmxzaj... Post your topic, and we will make videos for you 🏳 https://forms.gle/M4ysoMNh1zsPXiw89 #techarkit #aws #amazon AWS Fundamentals: Understand the core AWS services, regions, and availability zones. Learn about AWS Global Infrastructure and the AWS Well-Architected Framework. AWS Identity and Access Management (IAM): Familiarize yourself with IAM, which is used to manage user access and permissions in AWS. Learn how to create users, groups, and roles, and assign appropriate permissions. Amazon EC2 (Elastic Compute Cloud): Learn how to launch, configure, and manage EC2 instances. Understand different instance types, storage options, and security groups. Amazon VPC (Virtual Private Cloud): Explore VPC concepts, subnets, security groups, and route tables. Set up VPC networking to isolate and secure resources. Storage Services: Learn about AWS storage services like Amazon S3 (Simple Storage Service) for object storage and Amazon EBS (Elastic Block Store) for block storage. Understand storage classes, data lifecycle, and data transfer options.

Lambda Lab | Start and Stop EC2 Instances using Lambda Function


You can use AWS Lambda to automate the start and stop operations of EC2 instances. This can be useful for cost optimization by ensuring that instances are only running when they are needed. Here's an overview of how to achieve this:

Create Lambda Functions:

Start EC2 Instances Lambda Function:

Create a new Lambda function.
Choose a runtime (e.g., Python, Node.js, etc.).
Add the necessary permissions to your Lambda function to interact with EC2 instances.
Write the code to start the desired EC2 instances. You can use the AWS SDK for your chosen runtime to interact with EC2 instances using APIs like start_instances.
Stop EC2 Instances Lambda Function:

Create another Lambda function following similar steps.
Add the necessary permissions for stopping EC2 instances.
Write the code to stop the specified EC2 instances using the appropriate SDK method, such as stop_instances.

AWS Lab EC2 and EBS Volumes | Tech Arkit


Problem Statement:
You work for Arkit Solutions Pvt Ltd. Your Company c wants to launch a new web-based application using AWS Virtual Machines, and configure the resources accordingly with appropriate storage for the tasks.
You are asked to perform the following tasks:
1. Launch a Linux EC2 instance.
2. Create an EBS volume with 20 GB of storage and attach it to the created EC2 instance.
3. Resize the attached volume and make sure it reflects in the connected instance.


🔬 Welcome to AWS Labs - Your Gateway to Cloud Innovation! 🔬

Discover the forefront of cloud computing and technological excellence at AWS Labs. Step into a realm of groundbreaking solutions and cutting-edge experiments, where our team of experts constantly pushes the boundaries of what's possible in the cloud.

🚀 Unleash Your Potential: AWS Labs is the playground where innovation thrives. Our trailblazing researchers and engineers work tirelessly to create new services, enhance existing ones, and bring out the full potential of AWS. Witness first-hand the power of cloud technologies that empower businesses to soar to new heights.

💡 Expanding Horizons: Stay ahead in a rapidly evolving digital landscape with our hands-on experiments and insightful demonstrations. We explore emerging trends, from AI and machine learning to IoT and beyond, equipping you with knowledge to harness these technologies for your own ventures.

🔍 Dive into the Details: From comprehensive tutorials to in-depth technical deep dives, AWS Labs offers a wealth of knowledge to satisfy your curiosity. Our thorough exploration of AWS services and features ensures you have the expertise to leverage the full capabilities of the cloud.

🎓 Learn from the Best: Learn alongside industry-leading experts who are passionate about sharing their knowledge. Our engaging and interactive content makes even the most complex concepts easily understandable, catering to beginners and experienced professionals alike.

📈 Ignite Your Success: Whether you're a seasoned cloud architect or just starting your cloud journey, AWS Labs equips you with the tools and skills you need to thrive in the cloud ecosystem. From startups to enterprises, our resources will drive your business forward.

🌟 Join the AWS Labs Community: Become a part of our vibrant community of cloud enthusiasts. Share ideas, collaborate on projects, and learn from like-minded individuals who share a passion for innovation.

💻 Embrace the Future: As the forefront of cloud technology continues to evolve, so does AWS Labs. Our commitment to pushing boundaries ensures you stay up-to-date with the latest advancements and embrace the future with confidence.

📺 So, what are you waiting for? Subscribe to AWS Labs now and embark on an exhilarating journey into the world of AWS and cloud computing. Prepare to be amazed as we unlock the potential of tomorrow's technology, today. Let's build a better, more connected world together. Welcome to AWS Labs! 🌐

Multi Availability Zone Auto Scaling Group Deployment with ALB | Tech Arkit


To deploy an Auto Scaling Group (ASG) in AWS with multi-AZ support, you need to follow these steps:

Create a Launch Configuration: A Launch Configuration specifies the AMI (Amazon Machine Image), instance type, security groups, and other configuration details for the instances in your ASG.

Configure Auto Scaling Group: An Auto Scaling Group manages the lifecycle of your instances. It ensures that the desired number of instances are running, replaces unhealthy instances, and scales the group based on defined policies. During the ASG configuration, specify the minimum, desired, and maximum number of instances you want to maintain.

Configure Network Load Balancer: To achieve multi-AZ support, you need to set up a Network Load Balancer (NLB). The NLB distributes incoming traffic across multiple Availability Zones (AZs) to ensure high availability. Configure the NLB to forward traffic to the instances in your ASG.

Configure Scaling Policies: You can define scaling policies for your ASG to automatically scale the number of instances based on various metrics such as CPU utilization, network traffic, or application-level metrics. Configure the scaling policies according to your application's requirements.

Set up Health Checks: Configure health checks to monitor the instances in your ASG. Auto Scaling uses these health checks to determine the health status of instances and replace any unhealthy instances with new ones.

Test and Monitor: Before deploying your application in production, it is crucial to thoroughly test and monitor the ASG. Verify that instances are being launched in multiple AZs, the load balancer is distributing traffic correctly, and scaling policies are working as expected.

Deploy Application: Once your ASG is set up and tested, you can deploy your application onto the instances. You can use various deployment strategies such as blue-green deployments or rolling deployments, depending on your requirements.

Python Comparison Operators | Non-Programmers | Tech Arkit


## Equality (==): Checks if two values are equal. 
## Strings are case sensitive Ravi == Ravi (True) however Ravi == ravi (False).
x = 5
y = 7
print(x == y)  # False

name1 = "Ravi"
name2 = "Ravi"
print(name1 == name2)  # True

## Inequality (!=): Checks if two values are not equal.
a = 10
b = 15
print(a != b)  # True

age1 = 25
age2 = 30
print(age1 != age2)  # True

## Greater than (>): Checks if the left operand is greater than the right operand.
m = 5
n = 3
print(m > n)  # True

score1 = 85
score2 = 90
print(score1 > score2)  # False


## Less than (<): Checks if the left operand is less than the right operand.
p = 7
q = 10
print(p < q)  # True

temperature1 = 25
temperature2 = 30
print(temperature1 < temperature2)  # True


## Greater than or equal to (>=): Checks if the left operand is greater than or equal to the right operand.
c = 5
d = 5
print(c >= d)  # True

marks1 = 80
marks2 = 90
print(marks1 >= marks2)  # False


### Less than or equal to (<=): Checks if the left operand is less than or equal to the right operand.
e = 10
f = 15
print(e <= f)  # True

quantity1 = 5
quantity2 = 5
print(quantity1 <= quantity2)  # True

Python for Non-Programming Background Video 1 | Tech Arkit


Python is a powerful and versatile programming language that is widely used in various fields such as web development, data analysis, artificial intelligence, and automation. If you're new to programming or have no prior programming experience, Python is a great language to start with because of its simplicity and readability.

Here are some basic concepts and resources to help you get started with Python as a non-programmer:

Installation: First, you need to install Python on your computer. Visit the official Python website (python.org) and download the latest version compatible with your operating system. Follow the installation instructions provided.

Python interpreter: Once Python is installed, you can access the Python interpreter, which allows you to interactively run Python code and see the results immediately. You can launch the interpreter by opening the command prompt or terminal and typing "python" or "python3" depending on your installation.

Variables and Data Types: Python uses variables to store and manipulate data. You can assign values to variables and perform operations on them. Python has various built-in data types such as integers, floats, strings, lists, tuples, and dictionaries.

Basic Syntax: Python code is written using a clean and readable syntax. Indentation is crucial in Python and is used to define code blocks. Statements are typically terminated by a newline, and you can use comments to add explanations or notes to your code.

Control Flow: Python provides constructs for controlling the flow of execution in your program. This includes if-else statements for conditional execution, loops (such as for and while loops) for repetition, and logical operators like "and," "or," and "not."

Functions: Functions allow you to group code into reusable blocks and perform specific tasks. You can define your own functions and call them whenever needed. Python also comes with a rich set of built-in functions that you can use.

Libraries and Modules: Python has a vast ecosystem of libraries and modules that extend its capabilities. These libraries provide additional functionality for tasks such as scientific computing (NumPy), data analysis (Pandas), web development (Django), and machine learning (scikit-learn).

Learning Resources: There are numerous resources available to help you learn Python as a non-programmer. Some recommended resources include:

"Python Crash Course" by Eric Matthes: A beginner-friendly book that covers Python fundamentals and projects.

Codecademy: An online learning platform that offers interactive Python courses for beginners.

Python.org: The official Python website provides comprehensive documentation and tutorials.
YouTube tutorials: There are many Python tutorials available on YouTube that cater to beginners.
Remember, practice is key when learning to program. Start with small coding exercises and gradually work on more complex projects. Don't be afraid to make mistakes, as they are part of the learning process. With time and effort, you'll become comfortable with Python and be able to tackle a wide range of programming tasks.

Viral Linux Interview Questions and Answers | Tech Arkit


* What is SSH-tunnel ?
* How to set history size ?
* How to extend VG ?
* What are logical & extended partitions ?
* Explain the steps to reset root password at boot time ?* What are run-levels ? How many types of run levels are there ?
* How we change the run level ?
* How to check the logs ?
* Difference between Journalctl & tail command ?
* What does the subscription -manager do ?
* How to archive a file ?
* What is umask ?
* How to kill a process ?
* How to assign IP address manually ?
* How to assign static IP address to a system ?
* Explain the different type s of Linux process states ?
* What is a Zombie process ?
* What is KVM ?
* What is hypervisor ?
* Difference between MBR & GPT ?
* How you can mount a file system permanently ?
* What is cron ? How to setup a cron job ?
* What is Kickstart ?
* How to create a network bridge in Linux ?
* Difference between iptables & firewalld
* What is SElinux ?
* What is ISCSI & targetcli ?
* Difference between NFS & SAMBA ?
* What is nfsnobody ?
* What is SSHFS ?
* What is Kerberos ?
* How to secure NFS with Kerberos ?
* What is the difference between telnet & SSH ?
* What is DHCP ?
* What is Kickstart file ?
* What is NTP Server ? How to configure NTP ?

Viral - Linux Interview Questions and Answers | Tech Arkit


* Command to check Disk usage ?
* Difference between ps -aux & top command ?
* What are the ways to check CPU usage ?
* How to check CPU details ?
* Explain the steps to create a partition & how to format with file system ?
* Explain the steps to create LV ?
* Explain steps to reduce XFS & EXT files systems ?
* Significance of .bashrc file ?
* How you check the kernel version ?
* How you check the Red hat release version ?
* Significance of resolv.conf file ?
* What is DNS ? How you resolve DNS ? Types of DNS records ?
* Difference between Nginx & HTTP Server ?
* Port no of HTTP, FTP, SSH, HTTPS ?
* What is SSH ? How you generate SSH-keys ?
* What is Private & public key ? How they authenticate ?
* What is the default configuration file of SSH ?
* What is the default configuration file of HTTP ?
* What is Virtual Hosting ? How you configure virtual hosting ?
* Explain ifconfig command ?
* Difference between IPv4 & IPv6 ?
* What is MAC address ? can we change the physical address ?
* How to check system uptime ?
* How to check memory information ?
* What is SWAP ?
* What is the exact memory free in your system ?
* What is cache memory ?
* What if you can do rm -rvf / ?
* Kinds of permission in Linux ?
* What is vim & vi ? 
* What is pipe | ?
* What is grep command ?
* What Find command does ?
* How to redirect commands output ?
* What is systemd in Linux ?
* What does systemctl do ?
* If you run a command like nautilus in terminal, whether it will block your terminal or
not ?
* What is rsyslog ?