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Training TensorFlow - Deploy High-Performance AI Models

Ref: BBP108
10 people max.
$5,040 HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$180/day onsite · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Set up advanced TensorFlow pipelines with GPU/TPU
  • Develop complex models using Keras and TensorFlow
  • Optimize neural network performance
  • Deploy AI applications in production with TensorFlow Serving
  • Integrate TensorFlow with cloud ecosystems like AWS or GCP
  • Debug and analyze models for improved accuracy

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 intermediate TensorFlow mastery, your AI models remain slow and resource-heavy: cloud costs tripled (up to 10k€/year wasted), low accuracy leading to 20-30% production errors, competitive disadvantage against expert data scientists (AI market growing 40%/year).

  • Risk of abandoned projects, lost client contracts (70% of companies require scalable TensorFlow), team frustration from endless debugging.

  • Invest now to avoid these pitfalls, deploy high-performance solutions, and boost your AI ROI from the first quarter.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Day 1: Installation and TensorFlow Pipelines: Set Up Advanced Environments (GPU, Massive Datasets)

Install TensorFlow 2.x with Anaconda and Docker, configure CUDA to accelerate GPU computations, handle datasets with tf.data for smooth pipelines, complete initial exercises on large imports, test deliverables like an optimized data loader, and gain speed and reliability for your daily AI projects.

Module 2Day 2: Deep Learning Models: Build CNNs and RNNs with Keras-TensorFlow

Dive into Keras to build convolutional networks on real images, train RNN/LSTM for time series, apply callbacks for precise monitoring, code practical exercises on CIFAR-10 and IMDb datasets, produce saved models ready to scale, and experience TensorFlow's power for stunning predictions.

Module 3Day 3: Optimization and Debugging: Boost TensorFlow Performance and Accuracy

Master TensorBoard for training visualization, apply pruning and quantization to reduce model sizes by 50%, debug with tf.debugging, optimize hyperparameters using Keras Tuner, address real cases of overfitting, generate performance reports, and transform slow models into efficient, deployable champions.

Module 4Day 4: Production Deployment: Integrate TensorFlow Serving and Cloud

Deploy with TensorFlow Serving on Docker/Kubernetes, integrate with Flask for REST APIs, export to TensorFlow Lite for mobile, test on GCP Vertex AI, complete a full project with Prometheus monitoring, deliver a scalable AI app, and leave with skills to monetize your models in enterprise settings tomorrow.

Evaluation method

  • Daily interactive quizzes on Jupyter
  • Practical exercises graded in real-time
  • Final deployment project evaluated by the expert
  • Self-assessment via TensorBoard dashboards

Learning method

  • 80% hands-on with Jupyter and Colab
  • 20% theory with real business cases
  • Individualized exercises and peer challenges

Methods, materials and delivery

The Training TensorFlow - Deploy High-Performance AI Models 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 Training TensorFlow - Deploy High-Performance AI Models 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 TensorFlow - Deploy High-Performance AI Models 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

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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