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Todoist Training - Automating MLOps through Expert Task Management

Ref: NCP707
10 people max.
From $4,620 HT / per person
Group rate: $11,550 (team / on-site)
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Remote

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

Learning objectives

  • Master Todoist's advanced APIs to integrate professional MLOps workflows.
  • Develop Todoist automations with TensorFlow to optimize enterprise productivity.
  • Design custom Todoist dashboards to monitor PyTorch pipelines.
  • Implement Todoist-MLOps synchronization scripts for effective certification training.
  • Optimize team collaboration via Todoist in ML certification contexts.
  • Deploy expert Todoist labels and filters to manage priorities in MLOps production.
  • Acquire certification-level productivity skills to boost enterprise performance.

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 upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Expert Todoist Configuration: APIs and MLOps Automations (TensorFlow, PyTorch)

Discover Todoist's advanced APIs to create seamless integrations with TensorFlow, configure custom webhooks to notify ML events, perform practical exercises on automatically adding tasks from PyTorch logs, test Python scripts to synchronize projects, produce a first deliverable automated workflow by end of day, apply real enterprise cases to validate professional certification skills.

Module 2Todoist for MLOps Pipelines: Labels, Filters, and Dashboards (PyTorch Focus)

Dive into expert Todoist labels and filters to sort MLOps tasks, integrate PyTorch to track automated training sessions, develop custom views via advanced queries, practice on real datasets to simulate deployments, create interactive exportable dashboards, analyze productivity metrics, generate enterprise-adapted deliverable reports, strengthen certification training skills.

Module 3Todoist-TensorFlow Integrations: Scripts and MLOps Collaboration

Master Python scripts linking Todoist to TensorFlow for expert automations, configure triggers for recurring MLOps tasks, collaborate in real-time on shared projects, test integrations with CI/CD tools, develop custom bots for intelligent reminders, apply to ML enterprise cases, produce a deliverable collaborative prototype, consolidate certification skills for optimal performance.

Module 4Todoist MLOps Optimization: Advanced Monitoring and Deployment (TensorFlow, PyTorch)

Optimize Todoist for comprehensive MLOps monitoring with TensorFlow and PyTorch, deploy custom extensions via API, analyze performance via integrated analytics, simulate team crisis scenarios, finalize an enterprise deployment plan, generate reusable templates, evaluate quantified productivity ROI, conclude with a deliverable certification project demonstrating expert mastery in professional training.

Evaluation method

  • Daily technical quizzes on Todoist APIs and MLOps.
  • Final project: automated Todoist-TensorFlow-PyTorch workflow.
  • Qualiopi certificate on acquired expert skills.

Learning method

  • 100% hands-on with real MLOps exercises.
  • Case studies from leading AI companies.
  • Video support and post-training resources.
  • Personalized feedback from expert trainers.

Methods, materials and delivery

The Todoist Training - Automating MLOps through Expert Task Management 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 Todoist Training - Automating MLOps through Expert Task Management 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 Todoist Training - Automating MLOps through Expert Task Management 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.

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.

FAQ

Frequently asked questions

How much does the Todoist Training - Automating MLOps through Expert Task Management training cost?+
The individual price is $4,620, and the team / on-site price is $11,550 (USD). A detailed quote is sent within one business day.
How long is the Todoist Training - Automating MLOps through Expert Task Management 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?+
Advanced proficiency in TensorFlow and PyTorch, MLOps experience, regular use of Todoist for managing complex projects, knowledge of APIs and Python scripting.
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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