Build an AI Career Coach using an Open Source LLM
1h 38m 53s
English
Paid
Added to CourseFlix
Build an AI Career Coach using an Open Source LLM is a 13-lesson 1 hour 38 minutes self-paced course by Zero To Mastery. Create your own AI-based career coach using an open LLM and prompt management techniques!
Course facts
- Lessons
- 13
- Duration
- 1 hour 38 minutes
- Language
- English
- Added to CourseFlix
- November 2024
- Instructor
- Zero To Mastery
- Price
- Premium
Create your own AI-based career coach using an open LLM and prompt management techniques! This coach will be able to train, test, and motivate you using only natural language - no programming needed.
This project course is perfect for beginners who are wondering, "How can I use AI, like ChatGPT, for practical purposes?" You will get acquainted with the basics of generative AI, large language models (LLM), and prompt engineering to effectively "program in natural language." By simply using English, you will create a career coach with an impressive range of capabilities.
Who teaches Build an AI Career Coach using an Open Source LLM? Zero To Mastery
Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.
The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.
The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.
What lessons are included in Build an AI Career Coach using an Open Source LLM?
0:00
/ #1: Introduction
All Course Lessons (13)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 07:44 | |
| 2 | What Are Open Source LLMs and Why Are They Important? | 06:51 | |
| 3 | Chatbot Arena Leaderboard | 07:53 | |
| 4 | Introduction to LMStudio | 02:38 | |
| 5 | Setting Up Your Own Model - Part 1 | 02:52 | |
| 6 | Setting Up Your Own Model - Part 2 | 03:21 | |
| 7 | Career Coach Ideation | 07:33 | |
| 8 | The Setup - Persona | 07:17 | |
| 9 | The Setup - Context and Commands | 05:43 | |
| 10 | The Instructions - Modes | 12:21 | |
| 11 | The Instructions - Chain of Thought | 03:52 | |
| 12 | The Instructions - Gamify | 09:02 | |
| 13 | Meet Your Career Coach! | 21:46 |
Watch the other 12 lessons
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Frequently asked questions
What prerequisites are necessary for this course?
There are no formal prerequisites for this course. It is designed for individuals without a programming background, as the course focuses on using natural language and open-source language models to build an AI career coach. Familiarity with general computer usage and a basic understanding of AI concepts might be beneficial, but not required.
What will I build during the course?
During the course, you will build an AI-based career coach. This project involves setting up an open-source large language model (LLM) and configuring it to function as a career coach. The course covers ideation and setup, creating a persona for the coach, and defining context and commands to enable the AI to provide training, testing, and motivation in natural language.
Who is the target audience for this course?
The course is targeted at individuals interested in AI and natural language processing who wish to create a practical application without needing programming skills. It's suitable for learners who want to explore the potential of open-source LLMs and those seeking to develop a tool useful for career development and personal coaching.
How does the scope of this course compare to other AI courses?
This course differs from other AI courses by focusing specifically on building a career coaching application using open-source LLMs, without requiring programming skills. It emphasizes practical application and prompt management techniques over theoretical AI concepts, making it more accessible to beginners and those interested in applied AI solutions.
What specific tools or platforms will I learn to use?
The course introduces LMStudio as a platform for managing and deploying your open-source language model. It includes lessons on setting up your own model and using prompt management techniques to define the AI's behavior, leveraging tools available within the open-source community to create a functional career coach.
What topics are not covered in this course?
The course does not cover programming or coding skills, as it focuses on using natural language to interact with the AI. It also does not delve into the underlying algorithms or technical details of how language models work. Instead, it provides a practical approach to using existing open-source tools for building an application.
What is the time commitment required for this course?
The course consists of 13 lessons, but the overall runtime is not specified. Given the structure, it likely requires a few hours to complete, including time for setting up your model and configuring the AI career coach. As it is self-paced, learners can adjust their schedule as needed to work through the material at their own speed.