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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
1 seat held for the next session
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.

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.
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
Without Google Dataflow mastery, stream pipelines produce 50% more latency, causing 20% losses in real-time business opportunities.
Companies pay 3x more in cloud costs for obsolete batch processing, with 65% of data loss incidents due to faulty scaling.
In 2026, 82% of Dataflow-certified data engineers reach senior roles at +30% salary.
Each quarter without stream skills widens a fatal competitive gap in live predictive analytics.
Dive into the Beam SDKs for Google Dataflow, configure stream pipelines with Pub/Sub as the source, implement custom ParDo transformations and advanced windowing, test locally with DirectRunner then deploy to Dataflow, complete a practical exercise on a real-time IoT stream, produce a first scalable job with latency metrics.
Explore the stateful APIs of Google Dataflow for real-time aggregations, integrate stream joins with CoGroupByKey on multiple streams, handle late data with timers and watermarks, apply to an e-commerce fraud detection case, optimize memory with Beam's state backend, deliver a resilient join pipeline tested under load.
Analyze Google Dataflow job profiles with Stackdriver, apply dynamic autoscaling and step fusion to reduce costs by 40%, develop custom IO for proprietary sources, test under traffic peaks with Synthetic Data, measure throughput and latency, produce a quantified optimization report on your end-to-end project.
Connect Google Dataflow to BigQuery for real-time sinks, integrate Datastore for enriched lookups, deploy Vertex AI ML models in stream pipelines, process complex events with side inputs, simulate a live analytics dashboard, verify end-to-end latency under 1 second, document schemas and configurations for production.
Set up Cloud Monitoring alerts for Google Dataflow, implement resilience with dead-letter queues and retries, deploy parameterized templates for CI/CD, review fault-tolerant architectures for 2026, evaluate your end-to-end project in a presentation, receive a certification plan and enterprise skills roadmap.
The Training Google Dataflow - Processing Real-Time Data at Scale 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.
For the smooth delivery of the Training Google Dataflow - Processing Real-Time Data at Scale program, the following equipment is required:
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.
Assessment of skills acquired during the Training Google Dataflow - Processing Real-Time Data at Scale program is performed through:
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.
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.
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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Google CloudIndustry-certified
Google CloudIndustry-certified
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Generative AI & LLMsIndustry-certified
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Cloud computingIndustry-certified
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Cloud computingIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.