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Engineering the
Enterprise AI Transition

Psivex Labs partners with forward-thinking enterprises to build custom AI agents, modernize infrastructure, and upskill engineering teams for the generative AI era.

20+
Enterprise Clients
150+
Engineers Upskilled
99%
Client Retention
$50M+
ROI Generated

Trusted by engineers from leading AI companies

OpenAI
Anthropic
DeepMind
Hugging Face
Mistral AI
Cohere
LangChain
Meta AI
Stability AI
Inflection AI
Runway ML
Scale AI
OpenAI
Anthropic
DeepMind
Hugging Face
Mistral AI
Cohere
LangChain
Meta AI
Stability AI
Inflection AI
Runway ML
Scale AI
Enterprise Solutions

AI Strategy & Engineering

We don't just advise; we build. From autonomous agents to production RAG systems, we engineer solutions that drive tangible business value.

🧠

AI Strategy Consulting

Align your business objectives with Generative AI capabilities. We conduct technical discovery, identify high-ROI use cases, and architect scalable roadmaps.

Learn more →
⚙️

Agentic Workflows

Build multi-agent systems that autonomously execute complex multi-step workflows, integrating with your existing enterprise APIs and data stores.

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📚

Corporate Training

Custom, instructor-led intensive bootcamps to upskill your internal software engineering teams on LLMs, RAG, and AI system design.

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Training Programs

Elite AI
Engineering Tracks

Industry-grade programs designed to take you from competent developer to world-class AI engineer.

⚡
12 Weeks · Intensive
AI Engineering Bootcamp
₹45,000 INR Tuition

The fastest path to becoming a production AI engineer. Build LLM-powered applications from the ground up with real-world projects.

⏱ 12 weeks 🎯 Intermediate 👥 320 enrolled
PythonLangChainOpenAI APIFastAPI
W1-2 Foundations of AI Engineering
  • Python for ML: NumPy, Pandas, scikit-learn deep dive
  • Neural network fundamentals & backpropagation
  • Introduction to Transformer architecture
  • Setting up ML development environments
W3-4 LLM API Mastery
  • OpenAI, Anthropic & Google API integration
  • Prompt engineering: chain-of-thought, few-shot, ReAct
  • Token economics & cost optimization strategies
  • Streaming responses & async patterns
W5-7 RAG Systems & Vector Databases
  • Embedding models: OpenAI, Cohere, sentence-transformers
  • Vector stores: Pinecone, Weaviate, ChromaDB, Qdrant
  • Chunking strategies & retrieval optimization
  • Hybrid search: dense + sparse retrieval fusion
  • Building production RAG with LangChain & LlamaIndex
W8-9 Production Backend & APIs
  • FastAPI for ML services: async endpoints, middleware
  • Authentication, rate limiting & API key management
  • Docker containerization & CI/CD pipelines
  • Monitoring: LangSmith, Weights & Biases integration
W10-12 Capstone & Deployment
  • End-to-end AI product: planning → shipping
  • Cloud deployment: AWS SageMaker, GCP Vertex AI
  • Performance benchmarking & load testing
  • Portfolio project review & career prep
🤖
16 Weeks · Advanced
Agentic AI Systems
₹38,000 INR Tuition

Design and deploy autonomous AI agents. Multi-agent architectures, tool use, memory systems, and agentic reasoning patterns.

⏱ 16 weeks 🎯 Advanced 👥 180 enrolled
AutoGenCrewAILangGraphAnthropic
W1-4 Agent Foundations
  • ReAct, Plan-and-Execute & Reflexion patterns
  • Tool use: function calling, structured outputs
  • Memory systems: short-term, long-term, episodic
  • Agent evaluation frameworks & benchmarks
W5-8 Multi-Agent Orchestration
  • LangGraph: stateful workflows & conditional routing
  • CrewAI: role-based agent teams & delegation
  • AutoGen: conversational multi-agent patterns
  • Agent communication protocols & message passing
W9-12 Advanced Agent Patterns
  • Self-healing agents: error recovery & retry strategies
  • Hierarchical task decomposition & planning
  • Human-in-the-loop: approval gates & escalation
  • Agentic RAG: iterative retrieval & synthesis
W13-16 Production Agentic Systems
  • Observability: tracing agent decision chains
  • Cost control: token budgets & circuit breakers
  • Security: prompt injection defense, sandboxing
  • Capstone: autonomous research & coding agent
🧠
14 Weeks · Advanced
LLM Engineering
₹35,000 INR Tuition

Master fine-tuning, RAG architectures, evaluation frameworks, and deploying LLMs at scale in production environments.

⏱ 14 weeks 🎯 Advanced 👥 210 enrolled
TransformersPEFTvLLMLlamaindex
W1-4 LLM Internals & Architecture
  • Transformer deep dive: attention, KV-cache, positional encoding
  • Tokenization: BPE, SentencePiece, tiktoken
  • Model families: Llama 3, Mistral, Gemma, Qwen
  • Benchmarking: MMLU, HumanEval, MT-Bench
W5-8 Quantization & Optimization
  • Quantization formats: GPTQ, AWQ, GGUF, bitsandbytes
  • vLLM: PagedAttention, continuous batching
  • TensorRT-LLM & NVIDIA Triton Inference Server
  • Speculative decoding & KV-cache optimization
W9-14 Infrastructure at Scale
  • Kubernetes GPU node scheduling & resource quotas
  • Multi-GPU serving: tensor parallelism, pipeline parallelism
  • Model registry & versioning: MLflow, W&B
  • A/B testing & canary deployments for models
🏗️
18 Weeks · Expert
AI Infrastructure Engineering
₹36,000 INR Tuition

Build the systems that power AI at scale. GPU clusters, inference optimization, model serving, and MLOps pipelines.

⏱ 18 weeks 🎯 Expert 👥 95 enrolled
KubernetesRayCUDATriton
W1-6 Cluster Ops & Networking
  • GPU node scheduling in Kubernetes & resource quotas
  • Multi-node network fabrics: InfiniBand vs RoCE
  • Storage caching architectures for large weights
W7-12 Distributed Training Systems
  • Megatron-LM & DeepSpeed distributed configurations
  • Tensor parallelism, pipeline parallelism, ZeRO stages
  • Debugging hardware failures & training checkpointing
W13-18 Large Scale Model Inference Optimization
  • vLLM continuous batching and PagedAttention settings
  • TensorRT-LLM and NVIDIA Triton model deployment orchestration
  • Speculative decoding, KV-cache quantization, and FP8 operations
🚀
10 Weeks · Intermediate
AI Product Engineering
₹32,000 INR Tuition

From zero to AI-powered SaaS. Product design, AI integration patterns, rapid prototyping, and go-to-market for AI products.

⏱ 10 weeks 🎯 Intermediate 👥 440 enrolled
Next.jsVercel AI SDKStripeSupabase
W1-5 AI Prototyping & SDKs
  • Vercel AI SDK & Next.js App Router integrations
  • Streaming responses, streaming chat UI, tool rendering
  • Supabase vector store setup & PGVector matching
W6-10 Scaling & Stripe Invoicing
  • Stripe usage-based billing setup for API credits
  • Optimizing token latency & multi-region edge caches
  • LLM security validation & user safety layers
🔬
24 Weeks · Elite
Research Engineer Fellowship ✦
₹48,000 INR Tuition

Our most prestigious program. Work on original AI research, publish papers, and join a cohort of the world's most ambitious engineers.

⏱ 24 weeks 🎯 Expert 👥 40 seats
PyTorchJAXResearchPapers
W1-4 Advanced Deep Learning
  • Modern architectures: Attention, ConvNeXt, State Space Models
  • Custom PyTorch layers & training loop optimization
  • Benchmarking floating point performance (FP8, FP16, BF16)
W5-12 Model Pre-training & Fine-Tuning
  • Pre-training from scratch on custom clusters using JAX
  • Instruction tuning data generation & evaluation
  • RLHF, DPO & PPO implementation pipeline
W13-24 Thesis Research Project
  • Formulate novel research hypothesis with Psivex advisors
  • Submit paper draft to leading conference tracks (NeurIPS, ICML)
  • Present capstone presentation to hiring research labs
EXCLUSIVE ECOSYSTEM COMPONENT

Master Technical & System Design Interviews with Echo

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.

  • ✦
    Peer-to-Peer Mock Interviews: Practice as both an interviewer and interviewee to strengthen technical and communication skills.
  • ✦
    Real-Time Collaboration: Conduct interviews using integrated video/audio communication and a shared coding workspace.
  • ✦
    Global Peer Matching: Connect with developers and engineers from around the world for diverse interview experiences.
  • ✦
    Coding & System Design Practice: Prepare for DSA, system design, backend, full-stack, and software engineering interviews.
session_copilot_v2.sh
$ initialize --mode peer-to-peer --track "System Design"
[Connected] Room ID: #782-AEG
AI Feedback Engine Active

"Candidate effectively explained the trade-offs of micro-agent memory pools."

Your Journey

The AI Engineer
Roadmap

A structured path from developer to AI architect. Every step is deliberate, measurable, and validated.

🌱
Developer
Foundation
⚡
AI Engineer
Intermediate
🤖
Agentic AI Eng.
Advanced
🔬
Research Eng.
Expert
🏛️
AI Architect
Principal
arXiv Research Stream

Trending AI
Publications

Freshly tracked research papers and computational scaling methodologies.

Agentic AI

Perplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards - MarkTechPost

Authors: OpenAI

Perplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards  MarkTechPost

View arXiv Abstract ↗
LLM Systems

Anthropic Walks Back Policy That Could Have ‘Sabotaged’ AI Researchers Using Claude - WIRED

Authors: Anthropic

Anthropic Walks Back Policy That Could Have ‘Sabotaged’ AI Researchers Using Claude  WIRED

View arXiv Abstract ↗
AI Infrastructure

10 Companies Hiring AI Research Scientists - Built In

Authors: Meta AI

10 Companies Hiring AI Research Scientists  Built In

View arXiv Abstract ↗
Research Fellowship

SpaceX / xAI IPO: Is This a Real Business Yet? [Comprehensive Research] [2026] - Klover.ai

Authors: xAI

SpaceX / xAI IPO: Is This a Real Business Yet? [Comprehensive Research] [2026]  Klover.ai

View arXiv Abstract ↗
Computer Vision

Investing in multi-agent AI safety research - Google DeepMind

Authors: Google DeepMind

Investing in multi-agent AI safety research  Google DeepMind

View arXiv Abstract ↗
Accelerated Computing

Nvidia unveils open humanoid robot platform for robotics research - Robotics & Automation News

Authors: NVIDIA

Nvidia unveils open humanoid robot platform for robotics research  Robotics & Automation News

View arXiv Abstract ↗
Cloud AI

The Raffel Ticket - mininggazette.com

Authors: Microsoft

The Raffel Ticket  mininggazette.com

View arXiv Abstract ↗
E-commerce AI

Amazon’s Elusive Short-Eared Dog May Be More Common than Researchers Once Thought - Sci.News

Authors: Amazon

Amazon’s Elusive Short-Eared Dog May Be More Common than Researchers Once Thought  Sci.News

View arXiv Abstract ↗
Why Psivex Labs

Not a Course.
A Career Transformation.

We don't teach theory. We build AI engineers from the ground up with production-grade systems thinking.

01
Production-Grade Projects

Every project you build is designed to be shipped. Real users, real infrastructure, real performance requirements.

02
Research-Driven Curriculum

We implement cutting-edge papers. Our curriculum tracks arXiv weekly and translates research into engineering practice.

03
1:1 Mentor Access

Direct weekly sessions with senior AI engineers from top labs. No TAs. No forums. Real mentorship.

04
Agentic AI Mindset

We train you to think in systems, not scripts. Design autonomous agents that reason, plan, and execute at scale.

05
Elite Hiring Network

60+ partner companies actively recruit from Psivex. Direct introductions, not job boards. Average salary: ₹45L+.

06
Startup Incubation Track

Building an AI startup? Fellows get access to compute credits, co-founder matching, and investor introductions.

What You'll Build

Futuristic AI
Projects

Build real, deployable AI systems. Portfolio projects that actually get you hired.

🎯
AI Interview Copilot

Real-time interview coaching agent with RAG over company data, behavioral analysis, and feedback generation.

🔄
Autonomous Research Agent

Multi-step reasoning agent that searches, reads, synthesizes, and writes research reports autonomously.

READY TO TRANSFORM?

Build the Future of
Enterprise AI

Whether you need custom AI strategy, agentic engineering, or corporate upskilling, Psivex Labs is your partner for the generative era.

Try Echo Practice Platform →