High level topic detail for each courses -

1. API Course for Project Managers & Business Leaders
Objective: Strategic insights into API integration, governance, management, security, and modern AI technologies.

Week 1-3: Foundations and Integration

Introduction to APIs and Business Impact
API Types and Architectures: REST, SOAP, GraphQL
Basics of API Integration and GenAI Applications
Introduction to OpenAI and its API Capabilities
Week 4-6: Strategic Management, Governance, and Monetization

Developing an API Strategy Including GenAI Considerations
API Governance and Lifecycle Management
Security and Compliance (GDPR, HIPAA)
Monetization Strategies and Economic Models for APIs
Week 7-9: Advanced Concepts and Trends

Leadership in Digital Transformation via APIs
API and GenAI Integration in Business Systems
Emerging Trends: AI in APIs, including OpenAI Implementations
Case Studies: Successful API and AI Integrations

2. API Course for Developers
Objective: Deep dive into API development, integration, and modern AI applications.

Week 1-3: Development Essentials

API Development and Design Principles
Integrating APIs with GenAI Technologies
Security Protocols in API Development
Exploring OpenAI's API Offerings
Week 4-6: Advanced Development and Security

Building APIs with Advanced Security Features
Implementing GenAI Features in API Development
Monetizing API Services
API Testing with a Focus on AI and Machine Learning Integration
Week 7-9: Deployment and Best Practices

API Documentation and Developer Portals
Deploying and Monitoring APIs with AI Enhancements
OpenAI Tools and Libraries for Developers
Case Studies: API Development in the Age of AI

3. API Course for QA Professionals
Objective: Mastery in API testing with a focus on security, GenAI, and automation.

Week 1-3: Testing Foundations

Introduction to API Testing: Strategy, Tools, and Techniques
Testing APIs Integrated with GenAI Solutions
Basic Security Testing: Authentication, Authorization
Exploring OpenAI Tools for QA Professionals
Week 4-6: Advanced Testing and Automation

Automated API Testing Techniques
Performance and Security Testing in AI-Integrated APIs
Monetization Strategies: Testing for Revenue-Generating APIs
Governance and Compliance in GenAI-Enabled APIs
Week 7-9: Expert Techniques and Strategies

Advanced Testing Frameworks Incorporating AI
Continuous Integration and Delivery in GenAI Environments
Testing and Validating AI-Driven API Solutions
Reporting and Analytics in AI-Enhanced API Ecosystems

These are high level drafts. I am still working on them and final drafts will be ready by tomorrow

In case you haven't seen it yet, I've compiled a valuable list of free API resources throughout this year. These mini-courses and materials are ideal for anyone looking to expand their knowledge in the API domain. https://www.linkedin.com/posts/brijpandeyji_i-started-putting-these-mini-courses-about-activity-7139629971123130369-7oDh

It's with great enthusiasm that Gina and I introduce our newest collaboration: Data and AI Central.

This LinkedIn page is the result of our combined passion and expertise in the ever-evolving realms of Data Science and Artificial Intelligence.

Join here - Data and AI Central


𝗔𝗯𝗼𝘂𝘁 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗔𝗜 𝗖𝗲𝗻𝘁𝗿𝗮𝗹:

Data and AI Central is envisioned as a pivotal resource for those intrigued by data science and AI.

Our goal is to offer a space that simplifies these complex fields, making them accessible and engaging for everyone, from industry experts to newcomers. : https://www.linkedin.com/company/data-and-ai-central

https://www.linkedin.com/posts/brijpandeyji_as-it-professionals-we-rely-on-http-requests-activity-7144690719075569664-S94e?

Free Resources for End-to-End DevOps Learning:

🐧 𝗟𝗶𝗻𝘂𝘅:
- The Linux Foundation: https://lnkd.in/epkP5dYQ
- Linux Documentation: https://lnkd.in/eWNYW246
- Fedora Project: fedoraproject.org

🐍 𝗦𝗰𝗿𝗶𝗽𝘁𝗶𝗻𝗴:
- Python: learnpython.org
- Go: go.dev/tour
- Automate with Python: automatetheboringstuff.com
- Golang Bootcamp: https://lnkd.in/eSsK7KUG
https://www.linkedin.com/posts/brijpandeyji_free-resources-for-end-to-end-devops-learning-activity-7145286847668056064-bzhA?

Here are some free resources to learn Docker:

Official Resources:


Docker Documentation: https://docs.docker.com/

Docker Get Started: https://docs.docker.com/get-started/

Docker Labs: https://dockerlabs.collabnix.com/

Play with Docker: https://labs.play-with-docker.com/

Docker Hub: https://hub.docker.com/

Katacoda Labs: https://katacoda.com/

Docker Awesome: https://github.com/docker/awesome-compose

Docker Cheat Sheet: https://devhints.io/docker

Docker Blog: https://www.docker.com/blog/

My Today's post on docker architecture - https://www.linkedin.com/posts/brijpandeyji_lets-take-a-look-at-docker-today-one-of-activity-7145997505976041473-XlPn?

If you are into leetcode and also want to learn GenAI, this post is for you - https://www.linkedin.com/posts/brijpandeyji_fastest-way-to-master-leetcode-problems-efficiently-activity-7147966599688253440-7Ozl

As an IT professional, having a solid understanding of the Linux file system structure and organization is a critical skill that can take your career to the next level. https://www.linkedin.com/posts/brijpandeyji_as-an-it-professional-having-a-solid-understanding-activity-7149049531060350976-PVxY?

To gain expertise in Kafka, dive into these resources! They've been instrumental in my Kafka learning journey and I believe they'll be equally beneficial for you -

Articles:

https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying

Courses:

Effective Kafka, which is basically the Kafka bible.

Course by Gwen Shapira in O'Reilly media

Udemy course from Stephane Maarek


Websites:

https://developer.confluent.io

https://www.gentlydownthe.stream/

https://rmoff.dev/kafka101


YouTube Videos:

https://youtube.com/playlist?list=PLYmXYyXCMsfMMhiKPw4k1FF7KWxOEajs

My Today's Linkedin post on Kafka - https://www.linkedin.com/posts/brijpandeyji_in-the-world-of-real-time-data-processing-activity-7149778253841395713-tuEf?

Dear friends, your support on LinkedIn means a lot to me. If you enjoy what I share, I'd appreciate your interaction with my posts – every like, comment, and share helps extend the reach of my content to a broader audience. Every bit of engagement counts! 🙏🙏

68 Python notebook exercises for "Understanding Deep Learning " .

Highlights include:



-Play with decoding algorithms for LLMs

-Implement backpropagation algorithm

-Explore double descent

-Investigate implicit regularization

-Reparameterization trick vs. REINFORCE

-Build a 1D diffusion model

-Explore post-hoc bias mitigation



Read more on my linkedin - https://www.linkedin.com/posts/brijpandeyji_150x-faster-pandas-believe-it-no-code-activity-7150509032292720640-HU91?