Mervin Praison Courses

Cursor 2.0 Complete Guide - Build and Deploy AI Apps with Multi-Agent System

1 rating

Master Cursor 2.0's multi-agent system to build, test, and deploy AI applications automatically using Composer model, TestSprite integration, and cloud deployment tools.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Run Your Own AI Employee 24/7 with OpenClaw - 100% Local Setup

1 rating

Discover how to deploy OpenClaw AI agents locally or in the cloud to automate emails, calendars, and tasks 24/7 through Telegram, WhatsApp, Slack, or Discord with three setup methods.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

OpenAI DevDay: New Features and Innovations Revealed

Discover key OpenAI DevDay innovations: Real-Time API, Vision Fine-Tuning, Prompt Caching, and Model Distillation. Explore implementation, pricing, and real-world applications of these groundbreaking AI technologies.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

AI News Roundup: Latest Developments in AI Technology - April 2024

Explore groundbreaking AI advancements in video generation, image manipulation, and machine learning, revolutionizing industries from filmmaking to app development and personal planning.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Build Powerful Software in the Era of AI - Business Ideas and Strategies

Discover three revolutionary approaches to building AI-powered software in 2025: partially autonomous apps, generation-verification loops, and LLM-friendly tools for profitable ventures.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Google's A2A Protocol - AI Agent-to-Agent Communication Tutorial

Discover Google's revolutionary A2A protocol enabling seamless AI agent communication, with hands-on setup, code examples, and comparison to MCP for multi-agent systems.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

Google Agent Development Kit - Complete Tutorial for Building AI Agents

Master Google's Agent Development Kit to build 6 different AI agent types with tools, memory, and structured outputs - from basic Q&A to stock analysis agents deployable in minutes.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

All You Need to Know About Context Engineering - Build High-Quality AI Applications with MongoDB

Master context engineering to build production-ready AI applications with MongoDB, moving beyond prompt engineering to manage memory, knowledge, and multi-agent systems effectively.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

VectorShift - Building Multi-Agent AI Systems with No-Code

Discover how to build sophisticated multi-agent AI systems without coding using VectorShift - create custom agents, workflows, and deploy chatbots with just clicks!

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Anthropic Claude Prompt Caching - A Game Changer for Cost and Latency Reduction

Learn to reduce costs and improve speed with prompt caching in Claude. Explore implementation, practical examples, and comparisons to optimize your AI interactions.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Creating Synthetic Datasets for Instruction Finetuning with LLaMA and Nemotron

Learn to create synthetic datasets for AI instruction fine-tuning using LLaMA 3.1 and Nemotron 4. Master subtopic generation, question creation, response generation, quality filtering, and dataset uploading to Hugging Face.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Fine-Tuning and Deploying LLaMA 3.1 on Hugging Face and Ollama

Step-by-step guide to fine-tune LLaMA 3.1 with custom data, save on Hugging Face and Ollama, and deploy for enhanced AI performance tailored to specific business needs.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Mistral Large 2 vs Llama 3.1 - Coding Test Performance and Capabilities

Comprehensive analysis of Mistral Large 2's capabilities, comparing it to LLaMA 3.1 and GPT-4 in coding, reasoning, and multilingual tasks. Explores integration and practical applications.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Sciphi Triplex: A Cost-Effective Alternative to Microsoft GraphRAG

Explore Sciphi Triplex: a cost-effective, high-performance alternative to Microsoft's Graph RAG for creating knowledge graphs from unstructured data. Learn setup, implementation, and visualization techniques.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

GraphRAG Advanced: Optimize AI Projects and Reduce Costs

Learn to optimize GraphRAG for AI projects: ingest data, extract info, integrate with Python, create intelligent chatbots, and save costs. Master efficient querying and user-friendly interfaces.

• YouTube
• 13 minutes
• Self-Paced
• Free Video