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
- Design custom multi-layer Keras architectures.
- Optimize hyperparameters with callbacks and TensorBoard.
- Integrate Keras with extended TensorFlow for hybrid models.
- Deploy scalable models in production via TensorFlow Serving.
- Analyze and debug complex networks with advanced profiling.
- Apply transfer learning to large real-world datasets.
- Generate production-ready and automated deliverables.
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 Keras expert mastery, your DL projects take 40% longer in optimization, with 25% deployment failures due to poorly scaled architectures, losing 100k€/year in AI opportunities.
Trained competitors capture 60% of advanced ML markets, your models underperform benchmarks (accuracy <85% vs 95%), risking obsolescence against TensorFlow 2.15+.
Avoid GPU bottlenecks, costly runtime bugs, and competitive delays: invest 35h for x10 ROI in production.
Program
Module 1Advanced Keras Fundamentals: Custom Layers and Callbacks (TensorFlow, Profiling).
Dive into expert Keras APIs, code your first custom layers with Lambda and subclassing, configure advanced callbacks like EarlyStopping and ReduceLROnPlateau, test on CIFAR-10 datasets via interactive exercises, visualize with TensorBoard, produce your first optimized models ready to scale.
Module 2Complex Architectures: Hybrid CNN/RNN (Keras Sequential/Functional).
Build hybrid CNN-RNN networks for vision-sequence tasks, use Functional API for multi-branch models, integrate attention mechanisms and residuals, train on IMDB and custom datasets via Colab GPU, optimize custom loss functions, achieve >95% accuracy on real cases, export model diagrams.
Module 3Expert Optimization: Hyperparameters and Transfer Learning (Keras Tuner, Pre-trained).
Master Keras Tuner for Bayesian hyperparameter search, apply transfer learning on ResNet/VGG for custom tasks, fine-tune with layer freezing, benchmark on GPU with mixed precision, analyze learning curves, produce automated reports, boost performance by 40% on real projects.
Module 4Advanced Integration: Keras + TF Extended (Multi-GPU, Distributed).
Integrate Keras with tf.Keras for distributed multi-GPU training, implement custom metrics and losses, handle massive datasets with tf.data pipelines, debug with tf.profiler, test on Kaggle competitions, deploy scalable prototypes, deliver Docker-ready scripts for production.
Module 5Deployment and Production: Serving, ONNX (Keras SavedModel, Monitoring).
Deploy via TensorFlow Serving and Flask APIs, convert to ONNX for cross-framework use, implement monitoring with Prometheus, secure models in production, test end-to-end on e-commerce cases, generate performance dashboards, conclude with a certifying project deliverable on GitHub.
Evaluation method
- Daily practical quizzes
- Final real DL certifying project
- Personalized trainer feedback
Learning method
- Hands-on projects on professional datasets
- Interactive GPU Colab exercises
- Real Kaggle/company cases
Methods, materials and delivery
The Keras Expert Training - Master Advanced DL Architectures 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 Keras Expert Training - Master Advanced DL Architectures 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 Expert Training - Master Advanced DL Architectures 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 Keras Expert Training - Master Advanced DL Architectures training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Keras Expert Training - Master Advanced DL Architectures training?+
The training lasts 5 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?+
Advanced Python proficiency, intermediate TensorFlow/Keras, deep learning (CNN, RNN), GPU programming.
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.
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