Skip to main content

Turbo Mode: Optimizing Productivity with AI Tools and Agents

1h 2m 46s
English
Paid

Course description

Large language models, unfortunately, start "from scratch" by default each time you seek their help. Unlike a new employee, who understands the project better with each passing day, an AI without training in your working style can easily get off track. In this course, you will learn how to create your own custom agents and develop special files with rules that ensure a consistent code style, account for the full project context, business requirements, and much more. Instead of hoping that the model you chose will generate the correct code (which is often not the case), you will master approaches to creating the "ideal partner" for development.

Watch Online

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 6 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Understanding AI Productivity

All Course Lessons (6)

#Lesson TitleDurationAccess
1
Understanding AI Productivity Demo
01:55
2
Keeping up with the AI landscape
14:43
3
Choosing the Right AI Code Editor
05:22
4
Choosing the Right AI Agent: AI Meets CLI
11:15
5
Rule files
21:02
6
Using MCP to extending your agents
08:29

Unlock unlimited learning

Get instant access to all 5 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

Comments

0 comments

Want to join the conversation?

Sign in to comment

Similar courses

Advanced Context Engineering with Claude Code

Advanced Context Engineering with Claude Code

Sources: egghead
Learn context management for AI in the Claude Code course. Discover tools, frameworks, and techniques for predictable artificial intelligence outcomes.
12 minutes 46 seconds
AI Engineering with Go

AI Engineering with Go

Sources: ByteSizeGo
Learn to integrate AI into applications using Go. Create AI projects by mastering the LLM API, semantic search, and production deployment. The course is
11 hours 13 minutes 5 seconds
Build and Deploy a B2B SaaS AI Support Platform

Build and Deploy a B2B SaaS AI Support Platform

Sources: Code With Antonio
In this course, we will build a customer support platform powered by AI from scratch: we will set up a live chat using Convex Agents, add voice support through.
22 hours 20 minutes 55 seconds
Build an AI Agent (From Scratch)

Build an AI Agent (From Scratch)

Sources: Younghee Song, Jungjun Hur
Find out how to develop a fully functional AI agent. A step-by-step guide to creating intelligent assistants by Chongjun Hur and Yeonhee Son.
Learn MCP (Model Context Protocol)

Learn MCP (Model Context Protocol)

Sources: zerotomastery.io
If you are interested in AI that doesn't just talk but actually does something, this compact course is for you. Get ready to dive into the Model Context...
1 hour 7 minutes 34 seconds