1. Artificial Intelligence
Gen AI - Large Language Models
Large Language Models (LLMs) are advanced neural networks designed to understand and generate human-like text based on vast amounts of data. They leverage deep learning techniques to process natural language, enabling applications in translation, summarization, and conversational agents, among others. Prominent examples include OpenAI's GPT series, Google's BERT, and Meta's LLaMA models.
1. ChatGPT 4o
2. Anthropic Claude 3
3. Google Gemini 1.5
...
RAG - Retrieval Augmented Generation
Retrieval Augmented Generation (RAG) combines the capabilities of retrieval-based models and generative models to improve the accuracy and relevance of generated content. In this approach, relevant documents or information are retrieved from an external database and then used as context for the generative model to produce more informed and accurate responses. This technique is particularly useful for tasks requiring detailed and specific knowledge, such as question answering and summarization.
Gen AI Examples
1. Sentiment Analysis
2. Content Moderation
3. ChatBot by integrating Custom Data
4. Language Translation
5. Health Care - Diagnosis Example
More than 150 examples across various LLMs.
2. Cloud Native Apps
Cloud Native Apps
This journey is exciting for Architects, Developers, QA, Ops, and Product Owners. A Journey that makes you hands-on from Software Specifications to Design, Development, Deploying, and running in Production using Continuous Integration & Continuous Delivery, A fully automated pipeline for DevOps or DevSecOps.
Elastic Engineering
How to build a Modern Engineering team to build Cloud Native Apps. What are the team's roles and responsibilities, and how does the team fit into DevOps or DevSecOps?
Solution Architecture
This Section primarily focuses on a Solution Architect perspective to build modern Cloud Native Apps.
3. Blockchain
Ethereum
Ethereum is a decentralized technology that powers the digital currency Ether (ETH) and an ever-expanding range of decentralized applications.
Its global community has established a thriving digital economy, offering new and innovative opportunities for creators to earn income online, among other possibilities. Ethereum is accessible to everyone, regardless of location, as long as they have an internet connection.
HyperLedger Fabric
Hyperledger Fabric is an open-source blockchain platform designed for enterprise use. It offers scalability, privacy, and security features, smart contract support, and a flexible consensus model.
It's ideal for businesses seeking to implement blockchain technology to enhance their operations.
Blockchain Technology
Blockchain is a digital ledger that records secure and transparent transactions across a network of computers. It's decentralized, tamper-proof, and has many potential applications beyond cryptocurrency, such as supply chain management and identity verification.
4. Security
Java Application Security
This Section Focuses on Java Security in SpringBoot Application. It focuses on Spring Security, an Example of the Top 14 vulnerabilities, and how to prevent them. This section also focuses on Secure SDLC, Secure Design Patterns, NIST Secure Software Development Frameworks, and Thread Modeling also gives a brief intro to DevSecOps.
Security Architecture
This section focuses on modern Security Architecture and how it affects the Cloud Native App Development process, from Zero Trust to Service Mesh, and how Security and Network Policies are applied using Service Mesh.
DevSecOps
DevOps is the 3rd phase of the Application Modernization
- Architecture
- Infrastructure
- Delivery
- Security (that makes it DevSecOps)
Continuous Delivery is a critical requirement in DevOps. Without CD what you have is a bunch of tools deployed.