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Building Neural Networks
When
December 9, 2024 - February 2, 2025
Course Tuition
$1,950
No Up-front Payment
Modal now offers a deferred direct bill payment option for Booz Allen employees.
Learn more
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Who Is This For?
Data Scientists interested in building a foundational understanding of neural networks and a skill set to build NN models with Python.
Any prerequisites?
- Python: Familiarity with object oriented programming and concepts like nested for loops; a developed understanding of syntax, data structures, Pandas DataFrames, NumPy, and Scikit.
- Stats & Algebra: Statistics, especially probability, and applying these concepts using Python; Linear algebra concepts like matrices and vector spaces.
- ML: Supervised Machine Learning topics, such as the components of, and process for building, a regression ML model.
What will I be able to do after this Course?
- Describe the fundamental structure of neural networks and propagate data through an untrained neural network using the feed forward algorithm.
- Configure neural networks with proper activation functions and train neural networks using backpropagation and gradient descent.
- Build, train, and evaluate neural networks for regression and classification problems using Keras.
A Typical Week
Monday
Self Study
Kick-off new topic with self-study & online learning
- Coaches support learners hitting roadblocks
- Manager check-in to bring learning into company context
Tuesday
Wednesday
Labs
Learning material leads into practice environment & labs
- Coaches support learners hitting roadblocks
- Pair programming to bring learning into company context
- Community allows students to help each other
Thursday
Live Event
Interactive live session hosted by Coaches
- Community allows students to help each other
- Community Groups host expert AMAs & guided community discussions
Friday
Projects
Work on a weekly project
- Community allows students to help each other
- Group projects
- Coaches support learners hitting roadblocks
Saturday
sunday
Work at your own pace
Expert coaching and actionable feedback from Coaches
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Course Schedule
Sprint 1: The Structure of a Neural Network
Learn the fundamental structure of neural networks and propagate data through an untrained neural network using the feed forward algorithm.
Sprint 2: Training a Neural Network
Learn how to configure neural networks with proper activation functions and train neural networks using backpropagation and gradient descent.
Sprint 3: Using Keras To Create Neural Networks
Learn how to build, train, and evaluate neural networks for regression and classification problems using Keras.
Sprint 4: Finalizing Your Housing Models
Build several neural networks for the Capstone Project to predict the price of houses and whether those houses will be sold within 30 days.
Why Modal?
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Projects & Practice
Real world exercises contextualize learning in real-world context.
On-Demand Coach Support
You are never alone. Coaches are always present and can help you!
Live Sessions
Hear from guest speakers and expert instructors through engaging lectures.
Technical Labs
Hands-on labs allow you to play with new tools and concepts to build real skills.
Community of Peers
You will be part of a learning community were support is abundant.
Asynchronous Learning
Self-paced learning is scheduled for each learner, with a dashboard to help you keep on track.
Other Courses
“I love the quantity & quality of learning materials, the interactivity, the live sessions, the coaches, are invaluable. I can really feel the difference in the level of engagement that Modal has to every participant compared to an ordinary course."
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- Veselina Stoyanova - Reporting Analyst, EMAG
Learn more about FlexEd
We are excited that Modal now offers a deferred direct bill payment option for Booz Allen employees.
The deferred direct bill payment option enables employees to enroll in learning opportunities with no upfront costs. This payment option will require the employee to sign a Family Educational Rights and Privacy Act (FERPA) agreement with Modal to release grades/completion to Booz Allen to satisfy the FlexEd Program completion requirement.
Note, Modal may also be used for the FlexEd Program reimbursement payment option. See the full FlexEd Program Policy & FAQs.
Learn more about FlexEdThe deferred direct bill payment option enables employees to enroll in learning opportunities with no upfront costs. This payment option will require the employee to sign a Family Educational Rights and Privacy Act (FERPA) agreement with Modal to release grades/completion to Booz Allen to satisfy the FlexEd Program completion requirement.
Note, Modal may also be used for the FlexEd Program reimbursement payment option. See the full FlexEd Program Policy & FAQs.
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