Upcoming Cohorts
Practical, project-driven programs for engineers who want to design, evaluate, and deploy AI systems with confidence.
Running no/low code Agentic AI
Build powerful, autonomous workflows without writing complex code. Connect APIs, orchestrate LLMs, and deploy multi-agent systems.
- Visual orchestration of LLMs
- API integrations using Make/n8n
- Data retrieval and basic RAG visually
Product Management for Agentic AI
Bridge the gap between engineering and user needs. Learn how to design, scope, and measure the success of non-deterministic AI systems.
- Scoping non-deterministic features
- AI UX/UI paradigms and failure states
- Setting up Eval pipelines conceptually
Learn and build your own LLM
Dive deep into the architecture of Large Language Models. From understanding transformers to training a custom miniature LLM from scratch.
- Transformer architectures fundamentals
- Data tokenization and preparation
- Training loops from scratch in PyTorch
Building Multi-modal Agents
Master the frontier of AI: Agents that see, hear, and act. Learn to orchestrate VLMs, Audio loops, and UI navigation.
- Vision-Language Model (VLM) Orchestration
- Multi-modal RAG with Vector Databases
- Audio/Voice Agentic Loops (STTS)
What You'll Build
A cross-section of the work learners ship across our cohorts, from no-code assistants and AI product plans to custom models and multi-agent systems.
The syllabus spans beginner-friendly workflow building, product strategy, and advanced engineering tracks.
Each cohort is anchored in applied outputs so the syllabus reads as a path to something tangible, not just a topic list.
Explore the detailed cohort pages to see the week-by-week syllabus, capstone expectations, and learner outcomes.
Custom Mini-LLM Training Stack
Train, fine-tune, and present a transformer pipeline built from first principles.
Build the core pieces of a miniature LLM stack, from tokenization and attention mechanics to training loops, fine-tuning, and final inference presentation. This project represents the most technical path in the catalog and anchors the advanced engineering cohort.
AI-Powered Knowledge Assistant
Create a workflow-driven assistant that searches documents and answers team questions.
Evaluation-Ready AI Product PRD
Define an AI product with guardrails, evaluation criteria, and launch-ready UX decisions.
Scalable Multi-Agent Cluster
Scale from single agents to collaborative swarms on Kubernetes.
The 2026 AI Engineering Stack
Modern AI engineering requires a deep understanding of the full lifecycle. We teach the underlying mechanics, not just the names.
Compute & Training
The foundations for distributing weights and fine-tuning.
Orchestration & Logic
Architecting the reasoning loops and stateful agentic flows.
Memory & Data Context
Efficiently retrieving and managing long-term parametric state.
Deployment & Ops
Scaling to millions of tokens with low latency and high reliability.
Monitoring & Evaluation
Ensuring output quality and system reliability across versions.
The method: how we build
A zero-noise environment for engineers to master the next decade of technology.
Bridging the gap between tutorials and production.
The AI landscape moves too fast for traditional bootcamps. We've built an environment where engineers can move fast, build with rigor, and develop a first-principles mental model for stochastic systems.
Fundamentals-First Architecture
We don't just teach tools; we teach you how to build them. Master the 'why' behind the 'how'.
Accelerate Your Build
Move past 'dependency hell' and hallucinatory loops with direct architectural intuition from lead engineers.
Capstone-Centric Learning
Every module culminates in a live project. Ship code to private repos and build a high-signal portfolio.
Production Excellence
Go from 'Hello World' to production-grade systems with scientific rigor and evaluation frameworks.
Who is this for?
The AI Voyager
Beginner-IntermediateWhether you're beginning your AI journey or exploring new technical territory, we provide the map. We teach mathematical fundamentals (Linear Algebra, Probabilities) through code, not just abstract theory.
The Engineering Professional
Mid-SeniorHit a wall in your self-learning? Our midweek live office hours and peer-review system are designed to unblock you immediately. Focus on building production-ready systems with expert guidance.
The AI Architect
Senior-LeadReady to lead technical AI strategy? We focus on the unit economics of AI, orchestration at scale, and the 'stochastic' nature of production systems that tutorials never cover.
How we compare
Traditional bootcamps are too slow. Self-paced courses are too lonely. We built the middle ground for serious engineers.
| Value metric | skilling academy | traditional | self-paced |
|---|---|---|---|
| Live Mentorship | Weekly 1:1 & Group | Limited/None | None |
| Cohort Size | Max 60 Students | 100-500+ | Unlimited |
| GPU Credits | $1,000 Included | Not Included | Not Included |
| Curriculum | 2026 Agentic Stack | Often Outdated | Fragmented |
| Project Type | 4 Capstones (Live) | 1-2 Basic Demos | Tutorial Clips |
| Access | Lifetime + Updates | 6-12 Months | Lifetime |
* comparison based on publicly available data as of march 2026.
Professional Infrastructure
Beyond the curriculum: the technical ecosystem and community resources required for long-term AI engineering mastery.
Elite Peer Community
Access to a private Discord of 500+ senior engineers from Tier-1 tech firms. A production-grade SOS network for your most complex architectural blockers.
"Accelerate your career by networking with Staff/Principal engineers who are actively shipping the models you use."
LMS Mastery Lifecycle
Lifetime access to our custom Learning Management System. Includes every update we ship as the AI landscape evolves (weekly delta updates). No re-purchase required.
"Stay current without the subscription fatigue. Your one-time enrollment is an amortized investment in lifelong AI literacy."
Production Private Repos
Battle-tested deployment scripts, LangGraph templates, and evaluation pipelines in private GitHub repositories. These are the scaffolds we use for client consulting.
"Save 100+ hours of boilerplate engineering by cloning proven architectures for RAG, Agents, and Swarms."
Compute Forge Assistance
Documentation and 'validated cohort' credentials to unlock $500 - $1,000 in compute grants from partners like Modal and Lambda Labs for high-inference projects.
"Zero-friction experimentation. Test your agent swarms against Llama-3-70B and beyond using partner-dependent cloud credits."
Sovereign Perk Pack
Unlock potential partner value through our curated ecosystem. Includes an official Enrollment Letter for student pricing on JetBrains/Figma and startup credit fast-tracks.
"Recoup your potential tuition value through software savings alone within the first month of the cohort."
Proprietary Eval DB
Exclusive access to our internal database of LLM benchmarks, golden evaluation datasets, and prompt sensitivity matrices. Move beyond 'vibe-checks'.
"Implement scientific rigor in your AI products. Stop guessing if your prompt is 'better' and start proving it with data."
Partner Hiring Network
Best-effort, qualification-based warm introductions to top AI startups and enterprise labs in our technical referral network.
"Skip the generic HR filters. Get your machine-readable profile directly onto the desks of CTOs and Engineering VPs."
Weekly 'War Room' Sessions
Direct group access to lead instructors during midweek office hours. Bring your production logs, your broken code, and your architectural doubts.
"Get unblocked in minutes, not days. Benefit from real-time problem solving with engineers who have seen it all."
Ethics & Career Compliance Note
The Skilling Academy infrastructure is designed for low marginal cost delivery with high user-ROI. While we strive to maintain consistent partner availability for cloud credits and student software pricing, some benefits are dependent on vendor geography and internal eligibility criteria.
Cohort graduates maintain 12-month access to updated LMS content and private hub networking.
Portfolio artifacts are provided in machine-readable formats compatible with standard modern ATS parsing.
Perk Concierge
- Check Eligibility Matrix on enrollment
- Download official Enrollment Letter
- Submit Partner Grant credentials
- Weekly Concierge Support Hours
Lead Instructor
Deep pedagogical philosophy balanced with production engineering rigor.
Meet
Anubhav
Anubhav is an AI solutions and engineering leader with two decades of global experience executing machine learning, generative AI, and physical intelligence initiatives.
With a proven track record of founding startups and building 0-to-1 engineering teams, he has architected and delivered production-grade systems across B2B SaaS, industrial robotics, sports tech, and massive-scale consumer streaming platforms serving over 600 million users.
At skilling academy, he personally mentors every student, bringing extensive experience in enterprise strategy, multi-agent workflows, computer vision, and scalable distributed architectures from the boardroom to the IDE.
Technical Expertise
- Transformers / Attention
- GNNs & Graph Search
- RLHF / DPO Alignment
- Distributed Training
- vLLM / NVIDIA Triton
- Kubernetes / Ray
- VectorDB Scaling
- Hybrid Retrieval
- Knowledge Graphs
- Autonomous Execution
- ReAct / Tool-use
- Planner Architectures
Engineering Trust
Our alumni don't just 'use' AI. They architect the core infrastructure at forward-thinking engineering labs. This is a high-trust collective of senior talent.
"We've created a zero-noise environment for senior talent. This is where staff and principal engineers from Silicon Valley and beyond come to cross-pollinate their knowledge of agentic systems and distributed training."
The most technically rigorous program I've attended. No fluff, just pure architectural deep-dives into transformer blocks and swarm logic. This isn't just about calling APIs; it's about understanding the stochastic internals of LLMs.
LangGraph and Multi-agent orchestration was the missing link for our production pipeline. Highly recommended for senior devs who need to move beyond single-prompt engineering into complex, stateful workflows.
Direct 1:1 access to instructors who are actually shipping AI products. The focus on evaluations and evals-driven-dev is unique. We've implemented their RAG evaluation pipeline for our entire stealth startup.
System FAQ
Addressing technical edge cases and curriculum logistics for the committed engineer.
Our cohorts are crafted for mid-to-senior level software engineers, data scientists, and technical product managers who are comfortable with Python and basic web architecture. If you've been 'prompt engineering' but want to understand the underlying mechanics—transformer blocks, vector algebra, and autonomous agent orchestration—this is for you.
Plan for 6-8 hours of focused effort per week. This breaks down into 2 hours of live, interactive deep-dives on Saturdays, 1 hour of midweek Q&A/Office Hours, and 3-5 hours of dedicated hands-on project implementation where you'll build production-ready AI modules.
Life happens. Every live session is recorded in 4K and uploaded to our private portal within 2 hours. You'll have lifetime access to these recordings, including all updated versions of the curriculum. Our Discord community and mentors are active 24/7 to help you get back on track.
Not necessarily. While we discuss hardware optimization, most of our practical work utilizes cloud-based environments (Google Colab, Modal, or Lambda Labs). We provide credits and setup guides so you can run large-scale inference and fine-tuning without burning through your own hardware.
We keep cohorts focused (max 60) to maintain a high mentor-to-student ratio. You’ll be split into smaller review pods, and you’ll get dedicated feedback via office hours and code review workflows. This keeps discussions high-bandwidth and practical.
We teach 'First Principles'. While we use popular frameworks for speed, we spend significant time building core components (like Custom RAG retrievers or ReAct loops) from scratch. This ensures that when the next big framework arrives, you'll understand exactly how it works under the hood.
Absolutely. Our final project is a portfolio-grade AI system that solves a real business problem. We also provide a dedicated session on the AI Engineering interview landscape, resume reviews for technical roles, and introductions to our network of hiring partners in the AI space.
We want you to be 100% satisfied. If after the first week you feel the cohort isn't the right fit, we offer a full, no-questions-asked refund. Our goal is to build a community of committed builders, and we stand by the quality of our curriculum.
Yes. All students get lifetime access to our internal repository of production-ready templates, deployment scripts, and evaluation benchmarks. These are the same tools our instructors use to build and scale AI solutions in their day-to-day professional work.
Upon successful submission and review of your final 3 project modules, you will receive a cryptographically signed digital certificate. This certificate is recognized by our network of partner companies and can be directly shared on LinkedIn or included in your professional portfolio.
Scale Your Career with Agency
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