Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Training Keras - Master the Basics of Deep Learning
Trusted by — schools, companies and industrial groups
41,181 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
Keras training objectives
- Install and configure Keras with TensorFlow
- Build simple sequential models
- Train and evaluate neural networks
- Manipulate datasets for deep learning
- Optimize the performance of your first models
- Deploy a basic Keras model in production
Program
Keras curriculum: 4 modules over 4 days
Module 1 : Day 1: Keras Installation and First Models (TensorFlow, MNIST datasets)
Dive into Keras by installing the TensorFlow environment, configure your Jupyter workspace, explore the sequential API through practical exercises on the MNIST dataset, build your first image classification network, visualize layers with Keras Plot, test simple training to classify handwritten digits, leave with a functional model and ready-to-use notebooks.
Module 2 : Day 2: Advanced Sequential Models (layers, activations, CIFAR-10 datasets)
Deepen models by adding convolutional and dense layers, experiment with various activations like ReLU/Sigmoid, prepare the CIFAR-10 dataset with data augmentation, code a CNN from scratch, train it live with callbacks for saving, analyze learning curves, produce visual predictions on real images to boost your confidence in Keras.
Module 3 : Day 3: Training and Optimization (compilers, metrics, early stopping)
Master compilation with Adam/SGD optimizers, define custom accuracy/loss metrics, implement early stopping and learning rate reduction, optimize a model on a concrete business case like object detection, debug overfitting via cross-validation, generate automated performance reports, apply techniques to accelerate your iterations.
Module 4 : Day 4: Evaluation, Projects, and Deployment (saved models, Streamlit)
Evaluate your models with confusion matrices and ROC curves, integrate a final project on facial recognition, save/load h5 models, deploy via an interactive Streamlit app, test in real conditions, receive personalized feedback, leave with a concrete portfolio, certificates, and resources to continue deep learning independently.
How Keras skills are assessed
- Daily interactive quizzes
- Graded final applied project
- Continuous formative evaluation by the trainer
How the Keras course is taught
- Live hands-on exercises
- Real AI case studies
- Shared Jupyter notebooks
Keras training: access and practical arrangements
The Training Keras - Master the Basics of Deep Learning 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 Keras - Master the Basics of Deep Learning 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 Keras - Master the Basics of Deep Learning 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 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
Keras: frequently asked questions
Which tools are used in Keras training?+
Hands-on work runs on tensorFlow, MNIST datasets, layers, activations, CIFAR-10 datasets and compilers. Those tools come from the Keras program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Keras training?+
They can install and configure Keras with TensorFlow, build simple sequential models and train and evaluate neural networks. Those are the stated objectives of the Keras program at Beginner level, checked by the end-of-session assessment.
What does the Keras program cover, day by day?+
Day 1: Day 1: Keras Installation and First Models (TensorFlow, MNIST datasets). Day 2: Day 2: Advanced Sequential Models (layers, activations, CIFAR-10 datasets). Day 3: Day 3: Training and Optimization (compilers, metrics, early stopping). Day 4: Day 4: Evaluation, Projects, and Deployment (saved models, Streamlit). The Keras program runs over 4 days, delivered on site.
How is Keras training assessed?+
Assessment relies on daily interactive quizzes, graded final applied project and continuous formative evaluation by the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Keras program, which an L&D team can file as evidence.
How much does Keras training cost per participant?+
Keras training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 Keras training take?+
4 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 Keras 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 Keras training?+
Python basics, knowledge of NumPy/Pandas, introduction to machine learning.
Is a certificate issued after Keras 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 Keras 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.
Your professional training, anywhere
Let's build your Keras learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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