Outcomes

What you will be able to build

Deepsoft Academy is designed for real-world delivery: secure data access, measurable quality, and operational readiness.

Production-ready RAG assistants

Design ingestion, chunking, retrieval, and evaluation workflows that meet enterprise requirements.


Vector search & knowledge intelligence

Implement semantic search with governance, access controls, and observability across knowledge sources.


LLM operations & reliability

Ship prompts, tools, and models with monitoring, cost controls, and incident-ready runbooks.


Multi-cloud deployment patterns

Deploy across AWS, Azure, and Google Cloud with repeatable infrastructure and compliance-aware practices.

Programs

Academy tracks for teams and individuals

Choose a structured learning path or a custom cohort for your organization. Each track includes labs, templates, and review checkpoints.

RAG Engineering

Build enterprise assistants with document ingestion, semantic retrieval, vector database integrations, and evaluation-driven iteration.


GenAI & LLM Operations

Operationalize models and agents with deployment automation, monitoring, cost optimization, and governance across environments.


AI Workflows & Agentic Automation

Design AI-powered workplace workflows: task assistance, collaboration patterns, and automation that improves throughput.


AI ML Engineering Certification

A capstone-based credential demonstrating end-to-end delivery: architecture, security, evaluation, and operational readiness.

How it works

A practical, enterprise-first learning model

Short lectures, guided labs, and review cycles—built to help teams ship safely and measure impact.

Hands-on labs

Build RAG pipelines, evaluation suites, and deployment workflows using real patterns and templates.

Mentored delivery

Get feedback on architecture, security, and reliability so your project is ready for production.

Software engineer working on code on a laptop

Cloud with Neon Wires, Futuristic Technology Background, Cloud Technology Concept

Academy FAQs

Common questions about format, prerequisites, and enrollment.

Who is Deepsoft Academy for?

Enterprise IT and engineering leaders, data/AI teams, and professionals who want to build and operate generative AI systems in production.

Do I need prior LLM experience?

Not required. We recommend familiarity with Python and basic cloud concepts; advanced tracks include optional pre-work.

Is training available for enterprise cohorts?

Yes. We run private cohorts for teams, aligned to your stack, security requirements, and target use cases.

What is the typical duration?

Most cohorts run 2–6 weeks depending on depth and the capstone scope. Certification includes a reviewed final project.

Do you provide a certificate?

Yes. The AI Engineering Certification is awarded upon successful completion of labs and a capstone review.

How do we apply or request a syllabus?

Use the admissions CTA below or contact us at hello@deepsoft.io.