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.
Todoist Training - Automating MLOps through Expert Task Management
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
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.
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 expert mastery of Todoist in MLOps, 70% of ML projects experience delays from poor task management, resulting in estimated losses of 200k€ per project according to Gartner.
Teams lose competitiveness, with 40% of Data Scientists frustrated by inadequate tools and facing layoffs or career stagnation.
Companies expose their pipelines to repeated failures that hit revenue and innovation.
Invest now to secure your MLOps deployments and boost productivity.
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.
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 Todoist Training - Automating MLOps through Expert Task Management training cost?+
The price is $4,620 (USD) per participant. 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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