Every expert engineer started somewhere. We've mapped the fastest route from curiosity to production-ready Agentic AI skills — and your first step costs nothing.
Experience the quality and depth of our teaching at zero cost. This is your entry point into the Agentic AI world.
Register for a free demo session where you'll see how senior engineers convert a local AI agent workflow into a production-style API service using FastAPI, schemas, request IDs, trace IDs, health checks, and clean service boundaries.
Liked what you saw? The free intro is a single window into a much larger world. Career Accelerators give you targeted, outcome-driven skills — and three Premium Accelerators take you deeper into the engineering judgment senior roles demand: Design, Test, and Review.
A premium weekly live lab that converts AI learning into real job readiness — the most affordable way to learn directly from Nachiketh, live, every week.
A weekly live lab that turns AI learning into real job readiness. Every week, one real AI / GenAI / Agentic AI JD — broken down live. Resume positioning, project explanation, senior-engineer interview answers, best-answer reference guides.
Two clean entry points. Building your first AI foundation? Start with Python Automation. Ready to accelerate? Pick one of the bestseller Career Accelerators — Interview Playbook, NVIDIA NCP-AAI, or Production RAG.
The Python + CLI + Docker + GitHub Actions + AWS + Pytest + Pulumi + MLOps foundation behind every serious Agentic AI, GenAI, DevOps, MLOps or AIOps engineer. Self-paced, 14+ hours — the base under everything above.
For engineers moving into Agentic AI, GenAI, MLOps or AIOps.
Three focused programs, each targeting one specific career win. Interview mastery, NVIDIA certification, or a production RAG system — the bestsellers most learners come here for.
For engineers ready to specialize in one high-value area.
New to AI engineering? Start with the Python Foundation — then move up to a Career Accelerator when you have the base. More foundational tracks (GenAI/NLP, MLOps, NCA-GENL) sit further down as L0 Foundations.
Missing foundational skills? Jump to L0 Foundation tracks — Python automation, GenAI + NLP, MLOps, or NCA-GENL prep.
Four independent, blueprint-aligned exam prep courses — from business Associate to senior Architect Professional. Video prep + 4 practice tests per cert. Free updates on blueprint changes.
For business Claude users — Projects, Artifacts, workflows.
For AI/ML engineers — API, Agent SDK, Claude Code, MCP.
Scenario-based — agentic architecture, MCP, Claude Code.
Senior architect — RAG, evals, compliance, lifecycle.
Independent exam preparation program by Manifold AI Learning. Claude, Anthropic, and the Claude Certification Program are trademarks of Anthropic PBC. Not official Anthropic training.
Three focused programs. Each targets a high-value skill area where Agentic AI engineers are in short supply and high demand.
Master the system design, coding patterns, and conceptual depth that top-tier companies expect from Agentic AI engineers.
The only structured prep course designed around the NVIDIA Certified Professional — Agentic AI (NCP-AAI) exam domains. Looking for the entry-level NCA-GENL (Associate) instead? See the L0 tracks below.
Go from toy RAG demos to enterprise-grade retrieval systems that actually work at scale with real data.
Accelerators are precision tools — they get you sharp in one domain fast. But the engineers commanding the highest salaries and shipping the most impactful AI systems aren't specialists in isolation. They can design, build, evaluate, and deploy complete Agentic AI systems end-to-end.
You've seen what production RAG complexity looks like. You know this isn't toy-level AI work.
You've got a targeted skill that's interview-ready or certification-worthy. That's a real win.
The Developer Bootcamp builds your fluency across the full Agentic AI ecosystem — tools, MCP, RAG, LangGraph, multi-agent systems, cloud AI and evals — through hands-on projects and a final portfolio project. Then Enterprise Mastery turns those skills into one deployed production system.
A comprehensive, cohort-based program that builds your Agentic AI foundation. Learn the ecosystem, build the essential components, and graduate with hands-on projects plus a final portfolio project that speaks for itself.
Already fluent in the fundamentals? Continue with the Agentic AI Enterprise Mastery Bootcamp — build, deploy and operate one production system.
Systems ship. Demos don't.
You know how to build agents. Now learn to ship and operate one. Build one production-style Agentic AI system end to end — engineered layer by layer, reviewed like a senior engineer, and deployed.
Three premium accelerators — one production lifecycle. Pick the stage you're working in and start there.
Think like a senior engineer.
The complete premium program for engineers who want to architect AI systems with full awareness of failure modes and trade-offs — before writing a line of code.
Evals, safety, reliability & production readiness.
A premium self-paced course — captured from live sessions — on how to evaluate LLM apps, RAG pipelines, and agentic workflows for hallucinations, grounding, safety, latency, and production readiness.
Find production risks before they become failures.
Inspect RAG, agentic AI, and LLM application codebases for architecture risks, reliability gaps, governance blind spots, and deployment weaknesses — with a senior-engineer review framework.
If you've never thought about how to test or review AI systems, start with Design. If you're already shipping and need to prove reliability, start with Test. If you're handed someone else's AI codebase, start with Review.
Both paths are valuable. Here's what each one gives you.
"I wanted a curated course on how we actually build solutions and make them production-level rather than only building POCs. Enterprise RAG, observability, prompt versioning — I can explain all of it better now."
"The weekend bootcamps are well-structured, combining concepts with hands-on experiential learning — a strong blend of theory, practical implementation, and real-world lessons."
"An amazing program — it covered every aspect of a production project, from requirements to testing to final deployment."
9.6/10 average experience rating in our latest cohort feedback survey · more reflections on the bootcamp pages
No credit card. No commitment. Just the clearest look you'll get at what Agentic AI engineering actually requires — from people who build it every day.
The inner circle. For life.
Lifetime access to the full Manifold ecosystem (current + future releases) plus 5 founder sessions with Nachiketh, used within 12 months of joining.
Four self-paced tracks — Python automation, Generative AI + NLP engineering, production MLOps, and independent NVIDIA NCA-GENL (Associate) prep. Each builds a distinct foundation. Choose one that fits your current gap — then move up to the accelerators above.
The Python + CLI + Docker + GitHub Actions + AWS + Pytest + Pulumi + MLOps foundation behind production AI systems. Practical automation-first learning, not generic Python 101.
A 71+ hour self-paced bootcamp across Generative AI, NLP, transformers, deep learning, BERT, NER fine-tuning, MLOps, Kubernetes, and SageMaker — the foundation layer beneath every serious Agentic AI, RAG, and LLMOps system.
Not a lightweight prompt engineering course — a deep GenAI + NLP + transformer + BERT + MLOps + Kubernetes + SageMaker foundation, recorded from live bootcamp sessions.
A complete self-paced MLOps bundle combining 40+ hours of bootcamp recordings with an AWS-specific implementation course — MLflow, FastAPI, Docker, CI/CD, and the full AWS deployment stack.
Move beyond model training into production MLOps. Two complete courses in one bundle — the broad MLOps lifecycle and the AWS-native implementation, together in one path.
A 34+ hour exam-aligned prep bundle — 16 hours of live bootcamp recordings, 18+ hours of self-paced content, and 2 full-length practice tests for the NVIDIA-Certified Associate: Generative AI LLMs exam. Independent preparation by Manifold AI Learning — not official NVIDIA training.
Independent, structured prep for the NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL) exam — the entry-level NVIDIA GenAI certification. Practice tests to check readiness before the actual exam. Looking for the Professional-level NCP-AAI instead? See the L1 Career Accelerators above.