Nikhil Pentapalli

Senior AI Engineer | GenAI, RAG, Agents | Adobe | Ex-Startups | 9 Years in AI

AI Engineering Tech Stack 2026

Adobe

O'Reilly Media

Analytics Vidhya

Cohere

Bold Penguin

Discover how AI agents evolved and why they're the next generation of software and product

From LLMs to AI Agents

Understand every layer of modern agentic AI from models to tools, memory, orchestration, and deployment.

The Complete AI Engineering Stack

Gain a clear roadmap and continue with upcoming hands-on sessions where we'll build real-world agentic applications

Components needed for Building Production AI Systems

Master end-to-end AI engineering - transform prototypes into production-ready apps with LLMs, RAG & agents in just 8 weeks.

Cohort 5

Founder @ SwirlAI • Ex CPO @ neptune.ai

neptune.ai

Aurimas Griciunas

LinkedIn Top Voice in AI • Founder & CEO @ SwirlAI

Master Cohort

Cohort 6

The End-to-End AI Engineering Bootcamp is an 8-week, cohort-based experience designed to turn technical professionals into full-stack AI engineers who can confidently design, build, and deploy production-grade AI systems.🛠️ What You’ll BuildYou’ll develop your own capstone project - a real-world AI application built sprint by sprint, applying each week’s concept to solve a business-relevant use case. By the end, you’ll present it live on Demo Day, with a working repo and deployed app you can showcase to hiring managers, CTOs, or investors. 🧑‍💻Technologies include:<ul><li>LLM APIs (Gemini, Claude, GPT, etc.).</li><li>Vector databases &amp; RAG.</li><li>AI agent libraries (LangChain, LangGraph, ADK, OpenAI Agents SDK).</li><li>Docker, FastAPI, Kubernetes, cloud deployment.</li><li>Observability, evaluation, and performance testing.</li><li>Communication protocols (A2A, MCP).</li></ul>🧠 How It WorksEach week follows a real engineering sprint:<ul><li>Sprint Lesson (Monday): Self-paced learning with videos, cheatsheets &amp; reference code.</li><li>Sprint Review (Tuesday): Live walkthrough with Aurimas + deep Q&amp;A.</li><li>Sprint Build Lab (Thursday): Live coding session to implement sprint features.</li><li>Bonus QnA and Feedback sessions.</li></ul>🎬 Pre-course that will help you prepare <a target="_blank" rel="noopener noreferrer nofollow" href="https://youtube.com/playlist?list=PLeId95Z-0iyOATuFuHt3zP5enX3eCOsoq&amp;si=1xrntQdNOUkXwH6H">here</a>.

🚀 Build Real AI Products, Not Just Prototypes

Design and optimize RAG architectures

Engineer and orchestrate agentic systems

Design and deploy multi-agent systems for complex workflows

Implement structured prompt and context management

Apply LLMOps for observability and continuous evaluation

Build and deploy production-grade GenAI applications

Software Engineers &amp; DevelopersWho want to transition into AI Engineering and build, deploy and scale real-world AI systems end-to-end.

ML Engineers &amp; Data ScientistsWho want to architect, evaluate and scale production-grade agentic AI systems.

Technical Founders &amp; CTOsWho want to make AI a core product capability and confidently design and ship scalable AI systems.

Become an Agentic AI Engineer by building real-world, production-ready AI agents that autonomously reason and execute complex tasks.

Professor & AI Expert (600K+ Students)

Microsoft

General Motors

Samsung

HSBC

Dr. Ryan Ahmed

Professor, AI expert, & YouTuber who has taught 540,000+ learners worldwide.

Director of Engineering @Launchpad.AI

Nike

Levi's

Mr. Cooper

Launchpad

Kukesh Kodess

Director of Engineering with 7+ years building cutting-edge AI/ML systems

Cohort 2

Cohort 3

⭐"Join the instructor trusted by 600K+ students with 40K+ five-star reviews and 50M+ minutes of AI training watched worldwide."Agentic AI Engineering is 2026's most in-demand skill.Software is shifting from static systems to AI-native architectures, where autonomous agents reason, plan, and execute complex work.The problem: Most developers are stuck building API wrappers, and they lack the depth to manage state, memory, &amp; multi-agent coordination in real production systems.The Solution: This bootcamp is your bridge to elite Agentic AI engineering. We move beyond the basics to architect robust agent fleets in which specialized agents collaborate autonomously in production.What makes this course unique?<ul><li>Production-Grade Architecture: Engineer real systems using LangGraph, CrewAI, &amp; AutoGen.</li><li>Automate Agent Workflow Creation: Use Claude Code &amp; Codex to generate, refactor, and evolve agent workflows.</li><li>Enterprise Reliability: Design for guardrails, persistent memory, observability, &amp; human-in-the-loop safety. </li></ul><h3>Real-world Capstone Project</h3>Design &amp; deploy a production-grade, portfolio-ready agentic AI system for real-world use, demonstrating senior-level Agentic AI engineering skills.

Master Agentic AI Engineering & Architect Production-Grade Autonomous Systems

Architect, build & deploy production-grade agentic AI systems end-to-end

Orchestrate Autonomous Multi-Agent Teams

Master Tool Use & The Model Context Protocol (MCP)

Automate Workflows with AI Coding Assistants

Engineer Context-Aware Agents with Retrieval Augmented Generation (RAG)

Deploy, Monitor & Benchmark for Enterprise

Software Engineers &amp; Developers wanting to master state-of-the-art Agentic AI frameworks and build autonomous, production-grade AI agents.

Technical Founders &amp; CTOs who want to architect scalable, fault-tolerant autonomous systems that serve as your product's core engine.

Modern ML &amp; Data Science Practitioners who want to evolve from static models to dynamic Agentic AI workflows that reason, plan, &amp; execute.

The skills you need to succeed as an AI Engineer in production environments.

Owner/CEO, AI Makerspace

AI Makerspace

AI Fund

FourthBrain

University of Dayton

Dr. Greg Loughnane, Ph.D.

Building industry-leading AI training for engineers and teams since 2021

Engineer @ Vercel l Evalite Maintainer

Can Temizyurek

Engineer @ Vercel, maintainer of Evalite (200k downloads per week)

Principal AI/ML Engineer @ Rumble

Stanford University

Multiverse Computing

AoCubo Imobiliária

Raul Salles de Padua

Principal AI & ML Engineer @ Rumble

Cohort 1

TL;DR: <a target="_blank" rel="noopener noreferrer nofollow" href="https://bit.ly/AIE-v1-curr">find all curriculum details for v1.0</a> and the <a target="_blank" rel="noopener noreferrer nofollow" href="https://aimakerspace.io/the-aie-bootcamp-changelog/">changelog</a> since 2024.Today, the most important conversations in tech are about what to build with agents and why. Expert AI Engineers walk into those rooms and know they have earned a seat at the table.Developing the deep expertise at the edge of agentic AI to achieve this is easy in theory, yet quite difficult in practice.You must root yourself in both core conceptual patterns and practical code execution, both of which are evolving in real time.Over 10 weeks, you will routinely build 🏗️, ship 🚢, and share 🚀 with best-practice tools. Through accountability, repetition, and community, you will develop agentic AI expertise and achieve your personal career goals.Just ask our <a target="_blank" rel="noopener noreferrer nofollow" href="https://aimakerspace.io/graduates">Certified AI Engineer Graduates</a>.This course is designed for production backend engineers.All applicants must demonstrate their ability to dig into coding tools and build something with them by completing <a target="_blank" rel="noopener noreferrer nofollow" href="https://aimakerspace.io/aie-challenge">The AI Engineer Challenge</a>.Certifications remain active for two years. Recerts are 80% off. For all discount opportunities, see our <a target="_blank" rel="noopener noreferrer nofollow" href="https://bit.ly/aie-v1-discount-policy">discount policy</a>.AI Makerspace is the only certified enterprise training partner of <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/posts/a-meaningful-milestone-today-for-ai-makerspace-ugcPost-7460037108691476481-0wES?utm_source=share&amp;utm_medium=member_desktop&amp;rcm=ACoAAAOfOE4BdOGPD97rGOwB0qdCpNDB_wvyxsI">Andrew Ng &amp; Kirsty Tan's AI Aspire</a> on Maven.

The industry-standard certification for production AI Engineers.

Prototype and deploy many agent applications

Create effective evaluations (a.k.a. "evals")

Build full stack solutions to deliver complete user experiences 

Understand the foundational design patterns of AI Engineering

Attend to LLM Engineering

Apply production best-practices

This will be a place where you will hang out for many, many hours over the next 10 weeks.

Understand how to write Python code in an Interactive Development Environment

If you don't have a clear goal that aligns with completing your AIE Certification, you will not. Lifetime certification rate = 51.2%.

Have a clear goal of what you want to accomplish in your career in 2026

Backend software engineers and developers who want to build, deploy, operate, and improve agents in production environments.

The very best ML engineers or frontend developers who are pseudo-backend developers and understand what they must learn to stay relevant

Only the most ridiculous technical product managers; who somehow believe that getting deep into practical code execution will help them

Give your team the right AI tool for every job, and a stack you won't regret

AI Advisor | Google AI Accelerator Alum

Google

OpenAI

Amazon Web Services

NVIDIA

Aki Wijesundara

AI Advisor | Educator | Google AI Accelerator Alum

AI Founder | Co-Founder & CEO at Krybe |

Manu Jayawardana

AI Founder | Co-Founder & CEO at Krybe | Co-Founder of Snapdrum

The exact time and date will be discussed after payment. We will reach out to you to organize all logistics and have a setup call. If you have any questions about the program, you can email us at <a href="mailto:hello@theaiinternship.com">hello@theaiinternship.com</a> before enrolling.The fastest way to waste money on AI tools is to start from the tool. Every useful AI tool does one of four jobs: research, build, automate, or produce. Start from the job in front of you and the right tool becomes obvious, and you stop collecting subscriptions no one uses.This workshop gives your team one deliberate stack: a reliable default for each of the four jobs, chosen to fit your budget, your data, and your people. By the end, every person has built or automated something real, and your team has its stack on a single page with named owners and a first-week rollout plan.So <a href="mailto:hello@theaiinternship.com">email us</a> or <a href="https://theaiinternship.com/enterprise/call/">book a call here</a>.

🚀 Map your work to the four AI jobs, choose a tool for each, build something live, and leave with a one-page team stack and a rollout plan.

Map your team's work to the four AI jobs

Research two ways: the open web and your own documents

Build and automate without an engineering team

Produce polished output and assemble your stack

A team lead told to get the team on AIDrowning in tool choices, you need one deliberate stack, not subscriptions no one adopts.

Ops, product, marketing or finance teamsYou use scattered tools with no shared standard, and want one clear default per job.

A cross-functional teamYou want research, build, automate and produce all covered, with a clear default for each.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Engineers and engineering leaders who build, deploy, and scale software systems.

Startup founders building new businesses, from MVP to scale.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.