Machine Learning & GenAI Real Client Project:

Build an AI Recruiting Tool for SwiftHire

Gain Machine Learning Engineer Experience and Unlock New Career Opportunities. Learn & create an AI-driven recruiting product, using Large Language Models (LLM) and cloud infrastructure on AWS.

The Project For Career Transformation

Hiring-Manager Approved

Complete projects crafted and approved by hiring managers. 93% of project completors land a dream job.

100% Live Sessions with Experts

Learn and Collaborate with industry experts in weekly sessions. Learn the most cutting-edge techs.

Designed For Career Growth

Set you apart in the job market by applying AI & data solutions to solve real-industry challenges.

Project Background

Our client, SwiftHire (a recruiting agency), addresses a critical issue in the current job market. Amid a significant downturn, job seekers are experiencing low response rates from online applications. As a machine learning engineer in this project, you’ll apply cutting-edge technologies like Large Language Models (LLM) on the Cloud (AWS) to build an AI product to match resumes and job positions.

Designed For You Who Want To

  • Start & Accelerate a career as a Machine Learning Engineer.

  • Master cutting-edge ML & AI skills to stay competitive.

  • Stand out in the job market with real client & product experience.

  • Use your Programming and GenAI skills to drive real impact.

  • Work in a team to solve complex industry problems.

  • Unlock Networking, Referral, & Interview opportunities from our community

Project Details & Milestones

Learn the following skills in 8 weeks through live collaboration with the project lead. Building an end-to-end solution starting from business problem understanding to model deployment and iteration.

  • Data Engineering: ETL Pipelines, AWS, Chalice, Lambda, Cloudwatch, Eventbridge, ElasticSearch, Kibana

  • Data Science & Machine Learning Engineer: OpenAI, LLM, Langchain, NLP, OCR, model deployment, Vector DB, model monitoring, CI/CD

  • Business Skills: Problem Analysis, Project Management with Jira, Case Studies, Agile & Scrum, Presentation

  • Discussing the business problem, including motivation, metrics (business & ML), and data collection strategies

    Setting up a robust development environment

  • Running Apify and saving data in a Jupyter Notebook

  • Chalice intro and CICD pipeline

    Job scraping pipeline on AWS Lambda

  • PDF Parsing

    Resume parsing pipeline on AWS Lambda

  • OpenAI API Intro

    Vectorization and Chroma VectorDB

  • Streamlit Frontend

    Develop a matching solution using LangChain and OpenAI

  • 3 Ways to Perform Matching

    Performance evaluation and AB Testing

  • Above and Beyond: Airflow, Databricks, and more

  • Keep developing the product, project lead will provide support whenever you need.

Meet the Project Lead

Collaborate with Leyuan to solve business challenges using cutting-edge technologies and industry domain knowledge.

After completing the Industry Project, you will receive reference check support from Brave and your project lead.

See the example of how we will support your career advancement

Leyuan Yu (LinkedIn)

Founder at Brave Career | Senior Machine Learning Engineer

Ex-Coursera, Manulife, Deloitte

Dates and Pricing

Project Lead: Leyuan (Linkedin), Senior Machine Learning Scientist, Coursera.

Duration: 12 weeks

Launch Date: May 26th, 2024

$1.99 Trial: 2 weeks

Pricing: USD 998

(Payment will only be charged upon your confirm. Pay in two installments, $499 per month after the trial period)

FAQ

  • The goal of the project module is to up-skill and enhance profiles. It’s the prerequisite for landing a good offer. The career module aims to prepare for interviews and landing offers, which can not happen without solid project experiences.

  • Yes, our career mentees enjoy a 20% off for most of the projects we offer.

  • Yes, you will get a discounted price on the project and could skip the assessment step.