AI-ML Projects for Data Professionals

New

5 Weeks

Cohort-based Course

Gain hands-on experience and build a portfolio of industry AI/ML projects. Scope & execute the workflow from data exploration to deployment.

10+ Years Industry Experience at

Google
Axtria
Massachusetts Institute of Technology
UT Austin
University of Cincinnati

Course overview

Become a Data Science Expert by Implementing End-to-End AI/ML Projects

If you want to succeed as a Data Scientist in tech, proficiency in ML concepts is just the beginning. To truly thrive, you must implement end-to-end projects, integrate business acumen, and effectively collaborate with stakeholders. This advanced course is designed to equip mid-senior career professionals to drive impact while building a portfolio of applied ML projects.


This course offers a dynamic blend of technical expertise and real-world business challenges. Through a series of interactive sessions, discussions, and hands-on projects, you will learn how to:


1) Scope machine learning projects effectively

2) Lead discussions with stakeholders to align on project objectives and get buy-in

3) Navigate the entire data science workflow from data exploration to model deployment

4) Communicate project insights and business impact to stakeholders


Course Curriculum:

Week 1: Scoping ML Projects, Stakeholder Buy-In Strategies, and Data Science Workflow on Git

Week 2: Data Cleaning, Feature Engineering, ML algorithms, Deployment on Streamlit

Week 3: Ensemble Models, Forecasting Methods, ML Tradeoffs, Actionable Insights, Coding Best Practices

Week 4: Model Deployment on Cloud, Coding Best Practices, Github Portfolio Showcase

Week 5: Project Discussion, Set up Portfolio, Build your Website, Showcase your Work


Pre-requisites:

1. Familiarity with R / Python programming language

2. Knowledge of data manipulation using Pandas

3. Understanding of machine learning fundamentals is good-to-have

4. Learning curiosity 馃檪


Time-commitment:

8-10 hours per week


Class Format:

Each 2-hour session will feature 1.5 hours of content-rich instruction followed by 30 minutes of open discussion and Q&A. Prior to each class, you will be expected to engage in pre-readings, hands-on exercises, and GitHub submissions. During sessions, we'll explore various problem-solving techniques, address nuances and trade-offs, and derive actionable insights to drive business objectives forward.


Bonus Features:

In addition to course content, you will have the opportunity to showcase your best projects weekly on the PrepVector Newsletter and LinkedIn page. Outstanding projects will also receive special recognition on LinkedIn by me!

Who is this course for

01

Data scientists who want to build a compelling portfolio of industry projects to showcase their skills to potential employers.

02

Software and data engineers eager to gain expertise in applications of machine learning methodologies to enhance their technical repertoire.

03

Data and BI analysts seeking to acquire hands-on experience in leveraging data-driven insights to solve industry challenges.

What you鈥檒l get out of this course

Master Practical Applications of Machine Learning Methodologies

Gain hands-on experience in applying machine learning methodologies to real-world industry scenarios. Learn how to process data effectively, select the right algorithms, and implement models for accuracy and efficiency.

Implement End-to-End Data Science Projects & Deploy on Cloud

Develop a structured approach to navigating complexities of scoping ML projects, understanding business problems, gathering requirements, implementing projects, and deploying them on Cloud.

Build a Compelling Portfolio of Industry Projects using Organized Workflows on GitHub

Construct a portfolio of industry projects using engineering best practices, that showcase your ability to develop projects through organized workflows and coding best practices on GitHub.

Drive Actionable Insights for Informed Decision-Making

Extract meaningful insights from data and translate them into actionable recommendations for decision-makers. Explore techniques for visualizing and communicating data-driven insights, enabling informed decision-making and driving business growth.

Enhance Cross-Functional Collaboration and Communication

Collaborate effectively with diverse stakeholders, including technical and non-technical members. Hone your communication skills to frame narratives, convey complex technical concepts in a compelling and impactful manner, fostering collaboration and alignment.

This course includes

20 interactive live sessions

Lifetime access to course materials

20 in-depth lessons

Direct access to instructor

11 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven鈥檚 guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules

    What people are saying

    聽聽聽聽聽聽聽聽I have learnt more from Manisha through her courses than I have learnt in my 4-year college degree. I wish I had found her earlier.
    Abhigna Pebbati

    Abhigna Pebbati

    Analytics & Data Science Manager, Meta
    聽聽聽聽聽聽聽聽I attended PrepVector's Product Data Science course and it was immensely helpful in developing a thought process for approaching open ended problems.聽Manisha was very supportive and advised me throughout my upskilling journey. I highly recommend her course."
    Ketki Sharma

    Ketki Sharma

    Data Scientist, Dropbox
    聽聽聽聽聽聽聽聽I learnt from Manisha about how to think about problems in a structured manner. This helped me not just in my interviews as a candidate but also as an interviewer. The thought process developed in her course now helps me evaluate candidates better.
    Vedhanarayan Ravi

    Vedhanarayan Ravi

    Data Scientist, Adobe
    聽聽聽聽聽聽聽聽Manisha's mentorship combined with well structured program and active discussions of practical case studies, played a significant part聽in elevating my approach and delivery of data science projects. She fostered a supportive, safe and inclusive environment that elevated the quality of discussions. It is a great course to level up your DS skills.
    Indu Seetharaman

    Indu Seetharaman

    Data Scientist, Frost Bank

    Meet your instructor

    Manisha Arora

    Manisha Arora

    Data Science Lead, Google | Founder, PrepVector | MIT, UT Austin & Univ of Cincinnati

    I am a seasoned Data Science professional with 10+ years of experience leading data science teams and driving business growth through data-driven decision making.


    I am passionate about democratizing data science and enabling others level up in their careers. I found PrepVector to enable aspiring professionals to excel in there data science careers. I have taught 350+ data professionals through my courses at Maven & PrepVector.

    A pattern of wavy dots
    Join an upcoming cohort

    AI-ML Projects for Data Professionals

    Cohort 1

    $1,250 USD

    Dates

    May 12鈥擩une 9, 2024

    Payment Deadline

    May 12, 2024
    |

    Bulk purchases

    Course schedule

    8-10 hours per week
    • Live Sessions: Sundays

      11:00am - 1:00pm EST

      We will meet every Sunday to discuss the weekly updates and review codes. You will get to work together with other learners in the course and learn from them.

    • [Optional] Office Hours: Thursdays

      8:30pm - 9:00pm EST

      Optional office hours once a week to answer any questions as you digest the content and work on your project.

    • Weekly projects

      6-8 hours per week

      Take time to work on the project as per the instructions provided for each week. These projects will be discussed during our live sessions.

    Free resource

    Assess Your Data Science Skills

    Unlock your potential with our self-assessment tool!


    Answer a few questions to uncover your strengths, pinpoint areas for improvement, and benchmark yourself against peers. Receive personalized resources to help you up-level yourself as a data scientist.

    Try it Out

    Learning is better with cohorts

    Learning is better with cohorts

    Active hands-on learning

    This course builds on live workshops and hands-on projects

    Interactive and project-based

    You鈥檒l be interacting with other learners through breakout rooms and project teams

    Learn with a cohort of peers

    Join a community of like-minded people who want to learn and grow alongside you

    Frequently Asked Questions

    What happens if I can鈥檛 make a live session?
    I work full-time, what is the expected time commitment?
    What鈥檚 the refund policy?
    A pattern of wavy dots
    Join an upcoming cohort

    AI-ML Projects for Data Professionals

    Cohort 1

    $1,250 USD

    Dates

    May 12鈥擩une 9, 2024

    Payment Deadline

    May 12, 2024
    |

    Bulk purchases

    $1,250 USD

    5 Weeks