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Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks
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Practical Introduction to Keras training objectives
- Discover the fundamental concepts of Deep Learning
- Understand the basic architecture of artificial neural networks
- Get hands-on with the Keras library in a Python environment
- Create, train, and evaluate simple classification and regression models
- Understand how to prepare and manipulate datasets for model training
- Implement cross-validation and avoid overfitting
Program
Practical Introduction to Keras curriculum: 3 modules over 3 days
Module 1 : Introduction to Deep Learning and Keras Environment Setup
History of Deep Learning and use cases. Presentation of Keras and TensorFlow. Installation of the environment (Anaconda, Jupyter Notebook, Python, Keras). Overview of the main Keras modules. First tests: create and run a minimal neural network with toy data.
Module 2 : Creating Neural Network Models with Keras
Understand the structure of a Keras model (sequential, functional). Adding layers (Dense, Activation, Dropout). Model compilation, selection of loss functions and metrics, choice of optimizer. Data preparation (NumPy, preprocessing, normalization, encoding). Implementation of a classification model on a real dataset (e.g., MNIST).
Module 3 : Training, Evaluation, and Deployment of Deep Learning Models
Management of training, validation, and test sets. Performance improvement techniques (batch, epochs, callbacks, regularization, Dropout). Model evaluation: interpretation of metrics, visualization of training/validation curves. Introduction to cross-validation. Best practices to avoid overfitting. Saving and loading models, export, and deployment on new datasets.
How Practical Introduction to Keras skills are assessed
- Multiple-choice quiz at the end of the training
- Practical exercises in each module
- Development of a mini neural network project on a public dataset
How the Practical Introduction to Keras course is taught
- Alternation of theoretical sessions and practical workshops using Jupyter Notebook
- Progressive exercises to master Keras
- Study of real-world cases and supervised mini-project
- Digital course materials provided
Practical Introduction to Keras training: access and practical arrangements
The Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your Practical Introduction to Keras training
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
Practical Introduction to Keras: frequently asked questions
What can participants do after Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks training?+
They can discover the fundamental concepts of Deep Learning, understand the basic architecture of artificial neural networks and get hands-on with the Keras library in a Python environment. Those are the stated objectives of the Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks program at Beginner level, checked by the end-of-session assessment.
What does the Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks program cover, day by day?+
Day 1: Introduction to Deep Learning and Keras Environment Setup. Day 2: Creating Neural Network Models with Keras. Day 3: Training, Evaluation, and Deployment of Deep Learning Models. The Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks program runs over 3 days, delivered on site.
How is Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks training assessed?+
Assessment relies on multiple-choice quiz at the end of the training, practical exercises in each module and development of a mini neural network project on a public dataset. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks program, which an L&D team can file as evidence.
How much does Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks training cost per participant?+
Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks training?+
Basic knowledge of Python and general knowledge of mathematics (algebra, statistics).
Is a certificate issued after Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Training: Practical Introduction to Keras for Deep Learning: Create Your First Neural Networks training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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