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.
Learning objectives
- Set up an optimized Keras environment with TensorFlow.
- Build and train high-performance sequential models.
- Implement convolutional networks for computer vision.
- Develop recurrent models for time series.
- Optimize hyperparameters and deploy to production.
- Analyze and debug complex models with Keras.
- Integrate Keras into end-to-end data pipelines.
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Why this program matters
Without mastering Keras, your DL models remain basic: 70% of machine learning projects fail due to lack of optimization, wasting weeks of data prep.
Miss opportunities: data scientists without CNN underperform by 40% in accuracy on vision tasks.
ML engineers stagnate, competitors with Keras deploy 3x faster, capturing 25% more market share.
Avoid costly bugs, like unstable RNNs causing €50k losses in production.
Invest 35 hours to double your productivity, or risk obsolescence in the explosive AI landscape.
Program
Module 1Keras Introduction: Installation and First Models (TensorFlow Backend, Sequential API).
Install Keras with TensorFlow, create your first dense network on MNIST datasets, train it live, visualize learning curves with Matplotlib, export predictions to CSV, test on real-world image classification cases for an immediate skill boost.
Module 2Advanced Sequential Models: Custom Layers, Callbacks (Introduction to Keras Functional API).
Build hybrid architectures with the Functional API, integrate Dropout and BatchNorm, optimize with Adam and early stopping, apply to CIFAR-10 datasets, generate performance reports, iterate on practical exercises for robust and fast models.
Module 3CNN Convolutional Networks: Object Detection (Keras Conv2D Layers, Pooling).
Develop CNNs for image recognition, use Data Augmentation, transfer learning with VGG16, train on Kaggle datasets, measure accuracy >90%, produce heatmaps with Grad-CAM, apply to concrete projects like medical detection.
Module 4RNN and LSTM: Sequences and NLP (Keras Recurrent Layers, Embeddings).
Implement LSTM for time series prediction, process text with Tokenizers, fine-tune BERT-like models, evaluate with BLEU score, deploy on IMDB datasets, generate real-time predictions, refine through collaborative challenges.
Module 5Optimization and Deployment: Tuning, TensorFlow Serving (Keras Tuner, ONNX Export).
Hyperparameter tune with Keras Tuner, debug overfitting, export to TensorFlow Lite, deploy Flask API, test cloud scalability, deliver project portfolio, gain autonomy to boost your professional DL projects starting tomorrow.
Evaluation method
- Daily quizzes, daily projects, practical final exam, Qualiopi certification.
Learning method
- 40% theory, 60% practice, real Kaggle cases, pair programming.
Methods, materials and delivery
The Keras Training - Master Advanced Deep Learning program is delivered onsite or remote (blended-learning, e-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 Keras Training - Master Advanced 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 Keras Training - Master Advanced 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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