Psivex Labs transforms engineers into elite AI architects. Master Agentic AI, LLM Systems, AI Infrastructure, and Research Engineering with production-grade training.
Trusted by engineers from leading AI companies
Industry-grade programs designed to take you from competent developer to world-class AI engineer.
The fastest path to becoming a production AI engineer. Build LLM-powered applications from the ground up with real-world projects.
Design and deploy autonomous AI agents. Multi-agent architectures, tool use, memory systems, and agentic reasoning patterns.
Master fine-tuning, RAG architectures, evaluation frameworks, and deploying LLMs at scale in production environments.
Build the systems that power AI at scale. GPU clusters, inference optimization, model serving, and MLOps pipelines.
From zero to AI-powered SaaS. Product design, AI integration patterns, rapid prototyping, and go-to-market for AI products.
Our most prestigious program. Work on original AI research, publish papers, and join a cohort of the world's most ambitious engineers.
Psivex Labs has built **Echo** (echo.psivex.com), a state-of-the-art interactive peer-to-peer interview practice platform. Simulate real high-pressure technical screens at leading labs.
"Candidate effectively explained the trade-offs of micro-agent memory pools."
A structured path from developer to AI architect. Every step is deliberate, measurable, and validated.
Freshly tracked research papers and computational scaling methodologies.
Authors: Google DeepMind
A highly compute-efficient multimodal mixture-of-experts model capable of recalling and reasoning over fine-grained information from millions of tokens of context.
View arXiv Abstract ↗Authors: Anthropic
Claude 3 establishes new industry benchmarks across a wide range of cognitive tasks, offering near-human levels of comprehension and fluency.
View arXiv Abstract ↗Authors: OpenAI
A large-scale, multimodal model which can accept image and text inputs and produce text outputs, exhibiting human-level performance on various benchmarks.
View arXiv Abstract ↗Authors: xAI
Introducing Grok-1.5V, our first-generation multimodal model capable of processing a wide variety of visual information, including documents, diagrams, and photographs.
View arXiv Abstract ↗Authors: Meta AI
Llama 3 models are highly capable open-source models offering state-of-the-art performance on a wide range of industry benchmarks and new reasoning capabilities.
View arXiv Abstract ↗Authors: Anthropic
Expanding Project Glasswing Anthropic
View arXiv Abstract ↗Authors: CNBC
Microsoft unveils new AI models to lessen reliance on OpenAI and lower costs for developers CNBC
View arXiv Abstract ↗Authors: Ars Technica
An OpenAI model solved a famous math problem that stumped humans for 80 years Ars Technica
View arXiv Abstract ↗Authors: Amazon Web Services (AWS)
OpenAI models and Codex on Amazon Bedrock are now generally available Amazon Web Services (AWS)
View arXiv Abstract ↗Authors: politico.eu
Anthropic expands access to cyber-capable Mythos model beyond US politico.eu
View arXiv Abstract ↗Watch our exclusive fellow masterclass session stream. Turn your sound on and join.
Lecture stream ID: #984-LCT · Instructor: Team Psivex Labs
We don't teach theory. We build AI engineers from the ground up with production-grade systems thinking.
Every project you build is designed to be shipped. Real users, real infrastructure, real performance requirements.
We implement cutting-edge papers. Our curriculum tracks arXiv weekly and translates research into engineering practice.
Direct weekly sessions with senior AI engineers from top labs. No TAs. No forums. Real mentorship.
We train you to think in systems, not scripts. Design autonomous agents that reason, plan, and execute at scale.
60+ partner companies actively recruit from Psivex. Direct introductions, not job boards. Average salary: ₹45L+.
Building an AI startup? Fellows get access to compute credits, co-founder matching, and investor introductions.
Build real, deployable AI systems. Portfolio projects that actually get you hired.
Real-time interview coaching agent with RAG over company data, behavioral analysis, and feedback generation.
Multi-step reasoning agent that searches, reads, synthesizes, and writes research reports autonomously.
Applications are reviewed on a rolling basis. Join a global community of elite builders shaping the AI epoch.