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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning 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
Our social commitment
A school kit donated to a child for every training
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
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.
Don't let this gap widen
Why this program matters
Without this Keras training, waste 70% of your development time on installation bugs and haphazard configurations, like 80% of beginners who quit after hours lost.
Your models underperform with an average accuracy 20% lower, leading to erroneous business decisions and financial losses estimated at 15k€ per delayed project.
Trained competitors deploy 3x faster, leaving you behind with unusable prototypes.
Avoid the frustrations of chaotic solo learning, where 60% never achieve a viable model in 28h of self-training.
Invest now for immediate results and quick ROI.
Program
Module 1Day 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 2Day 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 3Day 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 4Day 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.
Evaluation method
- Daily interactive quizzes
- Graded final applied project
- Continuous formative evaluation by the trainer
Learning method
- Live hands-on exercises
- Real AI case studies
- Shared Jupyter notebooks
Methods, materials and delivery
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.
Our method
Training quality, guaranteed at every step
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.
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FAQ
Frequently asked questions
How much does the Training Keras - Master the Basics of Deep Learning training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Keras - Master the Basics of Deep Learning training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Python basics, knowledge of NumPy/Pandas, introduction to machine learning.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
Your professional training, anywhere
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