Training: Mastering DeepLake: The Next-Generation Database for Deep Learning

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: RFW558
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of DeepLake, data scientists waste 40% of their time on manual management of massive datasets for deep learning.

  • This generates project delays of 3 to 6 weeks and extra GPU compute costs of 8,000 € per month on average.

  • 65% of model training failures stem from poor vectorization and data storage, compromising the company's overall performance.

  • Every quarter without expertise exposes your team to irreversible competitive losses and stalls your professional advancement.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

40,869 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

DeepLake training objectives

  • Understand the role of databases specifically designed for deep learning
  • Install, configure, and get hands-on with DeepLake for advanced data science pipelines
  • Manage, manipulate, and version massive datasets with DeepLake
  • Integrate DeepLake into a machine learning workflow (TensorFlow, PyTorch)
  • Optimize the storage, querying, and annotation of highly voluminous datasets
  • Ensure experiment reproducibility through DeepLake's native versioning

Program

DeepLake curriculum: 3 modules over 3 days

Module 1 : Introduction to DeepLake and Databases for Deep Learning

Overview of the specific data management needs for deep learning projects. Discovery of DeepLake: positioning, architecture, use cases (image processing, videos, unstructured data). Environment installation and first manipulations: creating and exploring datasets with DeepLake, navigation via the Python interface and CLI.

Module 2 : Advanced Manipulation and Management of Massive Datasets

Structuring and efficiently storing data for deep learning (formats, compression, throughput). Scalable addition, deletion, filtering, and annotation of data. Searching, filtering, and annotating data at scale. Introduction to integrated versioning for full traceability. Practice on ingestion, partitioning, and management of large datasets (images, time series, videos).

Module 3 : Integration into the Deep Learning Pipeline & Advanced Exploitation

Connection with TensorFlow and PyTorch: feeding models with DeepLake datasets (DataLoader, batching). Experiment versioning and reproducibility. Deployment on cloud (AWS, GCP, S3 storage). Workflow optimization and enterprise best practices. Case studies: designing reproducible pipelines, collaborative management of experimental assets, large-scale annotation, and automation. Final exam via multiple-choice quiz and complete practical case.

How DeepLake skills are assessed

  • Multiple-choice quiz at the end of the training to validate theoretical knowledge
  • Practical exercises to complete at each step
  • Case study: managing a real deep learning data management project

How the DeepLake course is taught

  • Interactive courses with continuous live coding demonstrations
  • Practical workshops in small groups to experiment with the tool
  • Case studies and ongoing projects
  • Course materials and code examples provided

DeepLake training: access and practical arrangements

The Training: Mastering DeepLake: The Next-Generation Database for 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: Mastering DeepLake: The Next-Generation Database for 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: Mastering DeepLake: The Next-Generation Database for 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 DeepLake 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.

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.

A child walking to school with a backpack
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
Enroll and offer a kit
FAQ

DeepLake: frequently asked questions

What can participants do after Training: Mastering DeepLake: The Next-Generation Database for Deep Learning training?+
They can understand the role of databases specifically designed for deep learning, install, configure, and get hands-on with DeepLake for advanced data science pipelines and manage, manipulate, and version massive datasets with DeepLake. Those are the stated objectives of the Training: Mastering DeepLake: The Next-Generation Database for Deep Learning program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering DeepLake: The Next-Generation Database for Deep Learning program cover, day by day?+
Day 1: Introduction to DeepLake and Databases for Deep Learning. Day 2: Advanced Manipulation and Management of Massive Datasets. Day 3: Integration into the Deep Learning Pipeline & Advanced Exploitation. The Training: Mastering DeepLake: The Next-Generation Database for Deep Learning program runs over 3 days, delivered on site.
How is Training: Mastering DeepLake: The Next-Generation Database for Deep Learning training assessed?+
Assessment relies on multiple-choice quiz at the end of the training to validate theoretical knowledge, practical exercises to complete at each step and case study: managing a real deep learning data management project. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering DeepLake: The Next-Generation Database for Deep Learning program, which an L&D team can file as evidence.
How much does Training: Mastering DeepLake: The Next-Generation Database for Deep Learning training cost per participant?+
Training: Mastering DeepLake: The Next-Generation Database for Deep Learning training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 Training: Mastering DeepLake: The Next-Generation Database for Deep Learning training take?+
3 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 Training: Mastering DeepLake: The Next-Generation Database for Deep Learning 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 Training: Mastering DeepLake: The Next-Generation Database for Deep Learning training?+
Good proficiency in Python and fundamental knowledge of deep learning.
Is a certificate issued after Training: Mastering DeepLake: The Next-Generation Database for Deep Learning 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 Training: Mastering DeepLake: The Next-Generation Database for Deep Learning 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.
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