
Deepsoft Academy
Advanced GenAI & Data Science Certification Program
Hands-on programs for enterprise teams and professionals—covering RAG pipelines, vector search, LLM operations, and multi-cloud deployment.
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.
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Hands-on labs
Build RAG pipelines, evaluation suites, and deployment workflows using real patterns and templates.
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Mentored delivery
Get feedback on architecture, security, and reliability so your project is ready for production.


Next step
Start your Deepsoft Academy journey
Tell us your goals and timeline. We will recommend the right track and share a detailed syllabus and cohort options.
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.
