Turn AI into Your Personal Employee.
A step-by-step, no-code blueprint to automating your digital life.
These sessions are now offered as pre-recorded access at a nominal fee to meet overflow demand.
Full syllabus, pre-recorded sessions, and immediate access path via checkout request.
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About this program
This masterclass translates the buzz around AI agents into a practical, no-code system you can use immediately. Instead of abstract theory, it walks you through the exact toolchain, workflows, and templates needed to make AI act on your behalf across inbox, research, and personal operations. It is structured for busy professionals who want automation leverage quickly, without taking on a programming learning curve first.
Who is this for?
Operators, founders, creators, assistants, and non-technical professionals who want no-code AI leverage.
What you'll actively build & learn
Agent Foundations Without Jargon
Understand what actually makes an AI agent different from a chatbot so you can automate decisions, not just generate text.
No-Code Toolchain Setup
Use drag-and-drop tools to connect LLMs with Gmail, Notion, Slack, and other everyday systems without writing Python.
Hands-On Automation Projects
Build concrete workflows like an inbox assistant and automated researcher instead of leaving with vague ideas.
Immediate Real-World Utility
Leave with repeatable templates you can adapt to your own work, operations, and personal productivity stack.
Time Commitment & Schedule
Pre-recorded Masterclass
2-4 hrs total to start
Watch the core sessions at your own pace and revisit specific modules whenever you need to implement the workflow again.
Implementation Time
Immediate application
The modules are built to be put to work right away, whether you are automating operations or upgrading your prompting workflow the same day.
Detailed Syllabus
The structure below mirrors the rest of the academy experience: each module shows what you'll cover, what capability you'll leave with, and the concrete output you can use immediately after watching.
5 focused modules designed for same-week implementation
A working set of personal AI automations and reusable templates
Pre-recorded walkthroughs, practical examples, and direct implementation guidance
The Agentic Revolution
- The difference between a chatbot and an agent.
- How AI agents think, plan, and execute tasks without your supervision.
A clear mental model for what agents can automate and where they create real leverage.
A practical agent-opportunity map for your own daily work.
The No-Code Arsenal
- Setting up your free toolkit.
- Connecting LLMs to your favorite apps (Gmail, Notion, Slack) using visual, drag-and-drop platforms.
A ready-to-use no-code stack you can connect to the apps you already work inside.
Your personal no-code AI toolkit configured for experimentation.
Project 1 - The "Inbox Guardian"
- Build an agent that reads incoming emails, categorizes them by urgency, and drafts polite replies to routine questions.
A repeatable pattern for delegation inside your inbox and routine communications.
An inbox workflow that classifies messages and drafts useful replies.
Project 2 - The "Automated Researcher"
- Wire an agent to scrape specific news feeds or industry websites, summarize the top 5 updates, and drop them into a daily digest.
A system for converting multiple information sources into one concise decision-ready output.
A research digest workflow that summarizes the most important updates automatically.
The Privacy-First Agent (Bonus)
- Learn how to deploy a local-first, secure AI agent directly on your own machine.
- Process sensitive documents, personal finances, or local files with zero data leaving your computer.
A privacy-conscious operating model for using AI on sensitive or local-only tasks.
A local-first workflow blueprint for secure automation use cases.
The syllabus is built for immediate proof of use.
These masterclasses are compact by design. Each module moves toward something concrete you can deploy quickly, whether that is an automation workflow or a prompt system you can use across high-leverage work.
View all masterclassesPremium sessions, now made accessible
These immensely popular courses, overwhelmed well above registration capacity, are now being made accessible at nominal fee with pre-recorded sessions, to meet demand.
Request checkout linkEngineering 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.
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
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.