Get AI to Work For You, Not Do Your Work

This is the Masterclass for anyone who wants to learn AI.

In a world where AI capabilities evolve daily, the difference between thriving and becoming obsolete isn't whether you use AI—it's how you use it. This intensive, hands-on masterclass cuts through the hype to deliver practical skills for leveraging AI as your ultimate productivity multiplier.

Masterclass Overview
Stop worrying about AI taking your job and start making AI your most powerful tool. This masterclass focuses on strategic AI implementation rather than theory, teaching you to maintain control while maximizing what AI can do for you. You'll learn concrete techniques to harness AI's capabilities across key professional domains, creating systems where AI amplifies your expertise instead of replacing it.

Learn how to leverage the right tools to get AI to work for you.

We designed this masterclass for professionals who need immediate, applicable AI skills—not just concepts. You'll walk away with customized workflows, prompts, and strategies you can implement immediately to transform your productivity and capabilities.

Customized Learning Experience
We will take one or two of the following use cases based on participation.

Please indicate one of the below as your preferences when you sign up for this masterclass. The one that receives the maximum votes will be chosen as the main topic.

1) AI as a Code Reviewer
Transform your development process with AI that spots issues humans miss while maintaining your engineering standards. Learn to:

Set up AI-powered code review workflows that integrate with your existing workflow
Craft effective prompts that generate meaningful code insights

2) AI as a Peer Programmer
Move beyond simple code completion to true collaborative problem-solving with AI.

Master:
Structuring effective pair-programming dialogues with AI assistants
Breaking complex problems into AI-solvable components
Maintaining architectural control while delegating implementation details
Building documentation and explanation workflows that save hours

3) AI as a Trading Bot
Harness AI for data-driven decision making without surrendering strategic control.

Discover:
Create a trading bot
Create a skill for your trading bot
Analyze market data
Analyze fundamentals
Analyze event data to determine signals.
Execute autonomous trades.

4) AI as a Content Creator
Scale your content production while maintaining your authentic voice and strategic message.

Learn:
Developing content that guide AI rather than constrain it
Measuring content effectiveness to optimize your AI-human collaboration.
Create custom content workflow to post on social media.

Getting Friendly with Linux

2 day workshop for the Computer Society of India - Mumbai Chapter

March 6 & 7th 1999

https://github.com/megamanics/megamanics/files/10222229/GettingFriendlyWithLinuxCSI.pdf

Don't Get Caught in the Open: Safeguarding Your Open Source Contributions

Imagine accidentally exposing something that you don't want in an open source contribution, leading to severe consequences. This talk will guide you through this real life scenario, while demonstrating how to recover and also steps to prevent such mishaps, transforming stressful situations into secure, smooth-sailing contributions. Learn, prevent, and contribute fearlessly!

Supercharge DevOps workflows with AI

Abstract:
Learn how to supercharge your DevOps workflows with AI in this 90-minute workshop. Learn how to integrate powerful AI tools to streamline your development process. Whether you're a seasoned DevOps professional or just getting started, you'll leave this workshop with a solid understanding of how to use AI with your workflows.

Description:
This workshop offers participants hands-on experience in optimizing their CI/CD workflows on GitHub. Attendees will gain in-depth knowledge and skills required to create more efficient, robust, and maintainable workflows by integrating powerful AI services like Azure and OpenAI API.

During the workshop, we will cover the following topics:

Brief Introduction to workflows on GitHub.

Supercharging Your Workflows: Exploring advanced techniques for optimizing workflows, such as caching dependencies, leveraging parallelization, and incorporating third-party actions to enhance your workflow.

AI integration:
Showcasing how to integrate OpenAI & Azure API into your workflows to leverage AI capabilities.

Hands-on Use Cases: Participants will work through one real-world use cases that demonstrate the power of LLM models with Azure, and OpenAI API integrations.

Audience:
This workshop is designed for software developers, DevOps engineers, and technical leads who have a basic understanding of GitHub and some experience using devOps pipelines. Familiarity with Azure or OpenAI API is not required.

Takeaways:
By participating in this workshop, attendees will:

. Gain practical experience in workflows leveraging Azure, and OpenAI API for practical use-cases that were not possible before LLMs.
. Learn advanced techniques and best practices for integrating powerful services into their workflows.
. Work through real-world use cases that highlight the benefits of these integrations.

Using GitHub Actions in your day job

Accelerating developer velocity and maintaining high-quality code are crucial goals for every software team. In today's fast-paced landscape, it's more critical than ever. But achieving this is no easy feat. It's a complex process that requires careful planning, coordination, and execution.

Want to find out why GitHub Actions is the most widely used CI/CD solution? Or if it’s the right choice for you and your team? Join us for an exciting event where we’ll talk with a few experts about how you can use GitHub Actions to automate your CI/CD pipelines and streamline your development process. We’ll share insights into some key benefits, best practices, and tips for optimizing your workflows.

Wed, May 17, 2023 - Live Event MultiCast LinkedIn, Youtube & Twitch
https://gh.io/dayjob/s1e7
https://resources.github.com/videos/using-github-actions-in-your-day-job
https://www.youtube.com/watch?v=EBcxWDEvgH4

Mind the Open Source Gap - Open Source at United Nations

Open source is equal parts good code and proper policy. This session, presented by SKi Sankhe from GitHub, focuses on the macro-perspectives and considerations that underpin successful open source adoption within any organization. It equips decision makers with essential guidance on moving into the open source realm while improving stakeholder objectives.

March 17th 2023
Opening remarks:
o Special Adviser United Nations Office of the Secretary Generals Envoy on Technology: Fayaz King
o UN Assistant Secretary-General for OICT: Mr. Bernardo Mariano Junior
o iSprit: Rahul Kulkarni
o GitHub: SKi Sankhe, Open Source Software vision, benefits & challenges
o Ersilia: Gemma Turon, PhD, Ersilia Open Source Initiative: AI for Global Health
o GitHub: Belinda Vennam, How to open source your project
o GitHub: Joshua Ku, Technical workshop: Hands on open source

https://github.com/megamanics/megamanics/files/11032297/UN.-.vision.benefits.challenges.pdf
https://socialimpact.github.com/insights/Skills-Based-Volunteering-case-study-with-UNOICT

Using GitHub to open source endemic disease research in low-and-middle-income countries

This session will be an interactive workshop led by GitHub Social Impact and Ersilia on developing data-driven tools for researchers in low-and-middle income countries in a participatory way.

https://schedule.mozillafestival.org/session/J3LKS8-1
https://www.youtube.com/watch?v=6TJDMx4gN4Y&t=160s
https://socialimpact.github.com/insights/Skills-Based-Volunteering-case-study-with-Ersilia/

March 23rd 2023

Ersilia is a tech nonprofit that created an open source platform for infectious and neglected disease researchers, wet-lab scientists and clinicians to use and run machine learning (ML)/ artificial intelligence model predictions. The session will start with challenges in drug development for low resourced regions and what open source and open data in life sciences mean. Next, we will showcase the collaboration between Ersilia and GitHub’s Skills-Based Volunteering Program where GitHub employees volunteered their time to this project that sped up ML model deployment for infectious disease research, including a demonstration of the pipelines in this collaboration. This hands-on workshop will demonstrate the new model submission flow from the perspective of a research scientist where an audience member can receive a model, submit it to Ersilia, then have it approved and merged. Next, we will showcase how GitHub and Ersilia were able to solve the managing dependencies, such as security issues, that Ersilia was facing. The session will conclude with an open table from the audience with the following goals: i) how can this model of collaboration be extrapolated to other areas of tech for good ii) what dissemination actions should be undertaken to encourage OS contributors iii) which features are needed to increase diversity in the teams co-creating open source resources.

How to build you own AI Agent

Embark on a journey into the world of artificial intelligence by learning to build your very own AI agent. This workshop will take you through the entire process, from understanding the basics to developing and deploying a functional AI agent.

To MCP or not, that is the ? what is it and why you should care.

A fork in the road: Business leaders must decide which path to take in the AI-driven future – to MCP or not to MCP. Business leaders today find themselves at a Shakespearean crossroads – a bit like Hamlet pondering existence. In our case, the question is: to MCP or not to MCP? Do we embrace the new AI integration trend or hold our data close? This lightning talk will explore that dilemma.

KeyNote Speaker at First Linux Conference in India

Scripting Languages for Application Integration.

In this talk, we will explore the ubiquitous nature of scripting languages and their use in application integration. Specifically, we will focus on how scripting languages such as HTML, Perl CGI, TCL TK, and Expect can be leveraged to create dynamic web-based user interfaces for applications. Through the use of two real-world examples, we will showcase how this technique can be used to enhance application development and integration. The first example involves an application developed by the R&D division of Tata Unisys for a Language Processing tool that automatically converts WFL scripts to PERL. The second example showcases an application that analyzes data flow through COBOL programs and uses this information to identify all affected dates, along with an automated remediation step.

LINUX INDIA FORUM '99
28th May, 1999 - Friday
https://web.archive.org/web/20020907125219/http://www.tfci.com/events/l_report.htm
https://github.com/megamanics/megamanics/files/10222204/linuxConf.pdf