Catalog · Nexora

Deep Learning intermediate

Deep Learning with PyTorch: Fundamentals to Fine-Tuning

Autograd from first principles, then real training loops: learning-rate schedules, mixed precision, gradient accumulation, distributed data parallel, and the debugging discipline for a loss that will not go down. Finishes by fine-tuning a pretrained model on a custom dataset with a proper evaluation harness.

HT Hiroshi Tanaka 4.9

$99.00

22 hours

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Deep Learning

Deep Learning advanced

Distributed Training with FSDP and DeepSpeed

When a model no longer fits on one GPU. Data, tensor and pipeline parallelism, fully sharded data parallel, activation checkpointing, and the communication patterns that decide whether adding GPUs actually makes training faster.

HT Hiroshi Tanaka 4.7

$129.00

15 hours

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DevOps

DevOps intermediate

Observability: Logs, Metrics and Traces

Instrument a distributed system so incidents are short. Structured logging, metric cardinality discipline, OpenTelemetry tracing across service boundaries, SLOs and error budgets, and alerts that page a human only when a human is needed.

AR Ahmed Rahal 4.7

$79.00

12 hours

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Cloud

Cloud advanced

Event-Driven Architecture on the Cloud

Decoupling with events buys flexibility and bills you in complexity. Event schema design and versioning, idempotent consumers, the saga pattern for distributed workflows, dead-letter handling, and debugging a flow with no single call stack.

KM Kwame Mensah 4.6

$99.00

13 hours

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Agentic AI

Agentic AI intermediate

LLM Observability with LangSmith

You cannot debug what you cannot see. Instrument agent runs with distributed tracing, attach custom metadata and tags so runs are filterable, build evaluation datasets from production traffic, and set up regression tests that catch quality drops before users do. Includes selective tracing so your traces stay signal, not noise.

MA Marta Alves 4.6

$59.00

6 hours

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