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
0:00
/ #1: Understanding AI Productivity
All Course Lessons (6)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 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 subscriptionComments
0 commentsWant to join the conversation?
Sign in to commentSimilar courses
5 Levels of Agents - Coding Agents
Sources: Mckay Wrigley (takeoff)
This course teaches the creation of intelligent coding agents by going through five levels of complexity. You will learn to develop agents for review and...
5 hours 4 minutes 36 seconds
Build Your SaaS AI Web Platform From Zero to Production
Sources: Code4Startup (coderealprojects)
Discover the new trend in the world of startups and indie hackers - the creation of microservice AI-SaaS products that do more than just meet needs...
8 hours 36 minutes 2 seconds
Advanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More)
Sources: zerotomastery.io
Delve into the mathematical foundations of transformers, such as GPT and BERT. From tokenization to attention mechanisms—analyze the algorithms that underpin...
4 hours 55 minutes 29 seconds
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.
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