SabrixaSPECIFICATION V2.4
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Frontier Prompt Engineering & Applied Autonomous Systems

Official Technical Curriculum Specification, Live Cohort Timings & Certification Standards

1. Active Running Batches & IDE Architecture

Platform Agnostic Architecture: Students are free to develop in any AI IDE or Editor of their choice (Google Antigravity, Cursor, Claude Code, OpenAI Codex, Windsurf, or VS Code + Cline). All codebases, APIs, and evaluation suites execute identically across platforms.
Batch 01 • Morning Track

OpenAI Codex & ChatGPT Track

07:30 AM – 09:00 AM IST (Mon / Wed / Fri)

Status: Active Enrollment
Batch 02 • Afternoon / Weekend

Claude & Cursor AI Track

02:00 PM – 04:00 PM IST (Mon-Fri) / Sat-Sun 10 AM–1 PM

Status: Active Enrollment
Batch 03 • Prime Evening

Google Antigravity & Multimodal

08:30 PM – 10:00 PM IST (Tue / Thu / Sat)

Status: Prime Cohort

2. Detailed 8-Pillar Technical Syllabus Breakdown

Pillar 01: Frontier Prompt Architecture & Cognitive Frameworks

Deterministic persona framing, Chain-of-Thought (CoT), Tree-of-Thought (ToT), in-context few-shot exemplar optimization, and adversarial jailbreak mitigations.

  • ▪ Context boundary isolation and hallucination mitigation protocols.
  • ▪ Programmatic few-shot exemplar selection algorithms for token economy.
  • ▪ Prompt sanitization against indirect injection and data exfiltration.

Pillar 02: Google Antigravity & Autonomous Coding Workflows

Autonomous agent pairing, subagent hierarchy spawning, background terminal task sidecars, and automated self-healing build loops.

  • ▪ Antigravity CLI workspace orchestration and sandboxed command execution.
  • ▪ Parallel subagent delegation with structured IPC messaging.
  • ▪ Automated test synthesis and compiler diagnostic resolution loops.

Pillar 03: Google Imagen 3 & Generative Asset Engineering

Photorealistic text-to-image synthesis, ControlNet depth and pose conditioning, typography rendering, and consistent character LoRA generation.

  • ▪ Aperture, focal depth, studio lighting, and cinematic optics parameters.
  • ▪ ControlNet spatial guidance, line art extraction, and pose alignment.
  • ▪ Brand-consistent production design and inpainting asset pipelines.

Pillar 04: Google Veo 2, Sora & Cinematic Video Generation

Camera trajectory kinematics, temporal frame coherence, multi-scene storyboard prompting, and video-to-video style transfers.

  • ▪ Camera dolly, pan, crane, and focal tracking motion vectors.
  • ▪ Temporal consistency preservation across sequential video cuts.
  • ▪ Runway Gen-3 and Veo 2 enterprise media generation pipelines.

Pillar 05: DSPy & Programmatic Prompt Compilation

Replacing manual trial-and-error prompting with automated teleprompters: Signatures, Modules, MIPRO optimization, and metric loss assertions.

  • ▪ DSPy BootstrapFewShot and Bayesian optimization engines.
  • ▪ Metric-driven assertion gates and automated prompt synthesis.
  • ▪ Cost versus accuracy Pareto frontier optimization.

Pillar 06: Structured Outputs, JSON Schemas & Function Calling

Strict Pydantic and Zod schema enforcement, zero markdown drift, multi-tool API function calling, and automated database integrations.

  • ▪ Strict JSON schema validation for 100% deterministic parsing.
  • ▪ Automated schema error correction and self-healing retry handlers.
  • ▪ Connecting LLMs securely to SQL databases and REST microservices.

Pillar 07: Autonomous Multi-Agent Swarms & LangGraph

LangGraph cyclic state machines, supervisor/worker agent topologies, persistent checkpoint memory, and human-in-the-loop authorization gates.

  • ▪ Graph-based state machines with conditional edge branching.
  • ▪ Long-term persistence and fault-tolerant checkpoint restoration.
  • ▪ Human-in-the-loop validation nodes for high-impact actions.

Pillar 08: Production RAG, CI/CD Evals & Cloud Edge Deployment

Hybrid vector search (Qdrant), ColBERT reranking, automated Promptfoo/Ragas test gates in CI/CD, and Cloudflare Workers deployment.

  • ▪ Contextual chunking, citation grounding, and source attribution.
  • ▪ Automated regression and accuracy testing in GitHub Actions CI/CD.
  • ▪ Semantic caching with Redis for 80%+ API cost reduction.

3. Training Tracks & Subsidized Fee Structure

1-Month Foundation Track

₹3,999

4 Weeks Live Terminal Masterclass • 1 Deployed Capstone Project • Official Sabrixa Certification Credential.

Launch Subsidized (Regular ₹8,999)

3-Month Professional Mastery

₹9,999

12 Weeks Complete Engineering Lab • 3 Production Capstones • 1-on-1 Code Reviews • Direct Hiring Referrals.

Installment Option: 3x ₹3,500 Monthly

University Campus Residency

₹1,499

On-campus hardware labs, degree curriculum integration, institutional certification, and campus hackathons.

Per Student (Min 50+ Batch)