Training Conscious Technologists

CT Association

Hosted by Siosi Samuels

Design Your AI Stack with Clarity

George "Siosi" Samuels

15+ years in emerging tech

How AI is looking technically, economically, and geopolitically

Understand the current substrate of the AI industry

Why tech stacks are mattering more than tool mastery

Learn how to design your own AI stack, consciously

How to start structuring your AI stack with clarity

Secure a stable AI Stack for 2027

Orchestrate AI across knowledge work. No technical background required.

Ex-Microsoft Data & AI | 2,000+ trained

Microsoft

riftlab.ai

Sash Mohapatra

20 years at Microsoft, engineer to Director of Data & AI Sales, Capital Markets

Cohort 5

Cohort 6

Enrolling now:🎓 Cohort 6 Sessions @ 12PM EDT: Dec 7 - Dec 18🎓 Cohort 7 Sessions @ 12PM EDT: Feb 15 - Feb 26You're using AI. Your team is using AI. The next step is infrastructure: persistent context, repeatable workflows and connected tools. Skills that execute the same way every time. Agents that carry multi-step work while you keep the judgment. That's when capability compounds.You will build a Personal AI OS on your own machine, built in Claude Cowork and Claude Code, in plain English. No code. You're accountable for work your team now produces with AI. Building the system yourself is what tells you where the judgment has to stay.In 2 weeks you will:<ul><li>✅ Move from doing the work to designing the system that does it. Get fluent in The Orchestrator Method™</li><li>✅ Install the RiftLab Claude plugin. Layered Context, pre-packaged skills and agents</li><li>✅ Convert repeatable tasks into skills that execute with consistent results. Content writing, competitive research, automated briefs etc</li><li>✅ Build your delegation map. Sort your tasks by what AI can carry and what needs your judgment.</li><li>✅ Know what to trust AI with. Define the outcome, let the system execute, provide judgment where needed.</li></ul>

Build your Personal AI OS on Claude. Become a Certified AI Orchestrator™️

Operate by The Orchestrator Method™

Write context that carries across every session

Install a Personal AI OS that knows your work

Turn your repeatable work into reusable skills

Run your team of agents

Everything is built in plain English. If you can write a clear brief for a colleague, you can do this.

No coding background needed

Two 90-minute live sessions plus one to two hours on your own build. Office hours are optional.

4-5 hours a week for 2 weeks

The course builds in Claude Cowork and Claude Code. Both require one.

Claude subscription

Senior professionals who don't code. Directors, heads of function and specialists whose work runs on documents, analysis and decisions.

Leaders accountable for a team's output. Executives who need to judge AI work and set the standard for how their team uses it.

Founders and independent consultants. Operators running their own practice who need a system carrying the repeatable work.

Build AI solutions companies need. Gain practical skills, create your own product, and prepare for your next step in AI engineering.

The full program https://drive.google.com/file/d/1-hCMwFycaXnoJGqT04jh6pETEGFaCBiF/view?usp=sharing

September AI Engineer

October AI Engineer

CEO Hyperskill | Lecturer JetBrains, MIT

Nikolay Vyahhi

I'm passionate about using AI to make learning smarter and more accessible.

AI Engineer | Trained 150+ AI engineers

Nikalina Ogorodova

I help developers understand AI systems and turn that knowledge into working cod

CTO Hyperskill | Founder TheOna 

Ruslan Davletshin

I’ve built and deployed LLM systems at scale in production environments. 

AI Engineer & Researher

Ivan Rodin

I have over 7 years of experience in Data Science and Machine Learning.

Bootcamp cuts through AI noise — from foundations to evaluating, securing, and deploying AI systems

June AI Engineer 

November AI Engineer

🛠️ Understand how AI applications work from input to output: what happens inside the model, how agents use tools and data, and how the whole system reaches real users.In this 10-week bootcamp, you'll develop practical AI engineering skills companies need to build, evaluate, and securely deploy AI solutions.You'll learn to answer questions like:<ul><li>Which model fits my task, budget, and privacy needs?</li><li>How do prompts, retrieval, memory, and tools work together?</li><li>How do I find failures and make AI behavior more predictable?</li><li>How can I deploy AI securely with company data?</li></ul>📚 View <a target="_blank" rel="noopener noreferrer nofollow" href="https://drive.google.com/file/d/1naKn7J9A643P7ygxS8RnC1wXSS66dg6R/view?usp=sharing">the syllabus here</a>💬 Learn through hands-on coding, live Q&amp;A, and instructor feedback. Build agents from first principles and bring your skills together in your own AI product.🌍 Our students come from Tesla, Microsoft, Adobe, Samsung, Salesforce, American Express and other companies to build practical tech skills through real projects.🚀 Build a portfolio and the engineering judgment to explain your decisions, apply AI at work, and prepare for your next career step.⏱️ Around 12 hours per week, including 1–2 hours of live sessions. Created by AI engineers at <a target="_blank" rel="noopener noreferrer nofollow" href="https://hyperskill.org">Hyperskill</a> Is this bootcamp right for you? <a target="_blank" rel="noopener noreferrer nofollow" href="https://savvycal.com/hyperskill-bootcamps/consultation-call-w-hyperskill">Book a call</a>

10-week Agentic  AI Engineering from experienced educators & practitioners

Choose the right LLM for your task

Build AI applications and agents from first principles

Connect AI to your own data

Evaluate and improve AI quality

Build secure AI systems and deploy them to real users

Build and present your own AI product

Be comfortable writing code and know basic Python. Preparation materials are available if you need a refresher.

Basic programming experience (Python preferred)

Plan for 10–12 hours weekly across projects, self-paced lessons, and live sessions.

Plan for 10–12 hours per week

Join live Q&A to discuss projects and get instructor guidance. See the cohort schedule for dates and times.

Join live discussions and Q&A

Software engineers who want to level up from basic LLM usage to building production-ready AI systems, agents, and RAG pipelines

Technical PMs and team leads who want to raise their company’s AI capabilities and confidently drive adoption of modern AI systems

Developers looking to switch jobs by gaining the modern, in-demand AI engineering skills companies hire for today

Stop guessing what AI skills your portfolio needs to show

Founder @ storyline.design 

Justine Montgomery

Founder @ storyline.design | ex-Stripe, Preply

Cohort 1

AI is appearing in more Product Design roles, but "AI experience" can mean very different things from one company to another.You might have experimented with AI tools, designed an AI-powered feature, built prototypes, or incorporated AI into your workflow, but how do you know whether that experience is relevant or how to demonstrate it?Instead of guessing how to demonstrate AI fluency in your portfolio, we'll work backwards from the roles you're actually targeting.In this hands-on workshop, you'll use real job descriptions to identify the AI skills hiring teams value, uncover relevant evidence from your own experience, and work on turning that evidence into a compelling case study story.You'll explore how to communicate your thinking, decisions, experimentation and contribution, not just the final output.⭐️ This isn't another presentation about AI portfolios. You'll actively work on your own story, get feedback on your direction, and identify what to strengthen or develop next.Leave with a case study outline you've started developing, evidence mapped to your target roles, and a clear plan to strengthen your portfolio.

Go from guessing what your portfolio needs to knowing what matters for the roles you want

Decode what employers actually mean by AI skills

Find the evidence you already have 

Turn your experience into a stronger story 

Know what to prioritise next

You're preparing for your next Product Design role but aren't sure which AI skills employers expect or how to demonstrate them.

You've experimented with AI tools, prototypes or workflows but aren't sure whether that experience is worth showcasing.

You have AI experience or want to build it, but don't know how to turn it into relevant portfolio evidence.

Your AI Agent Needs More Than a Good Idea. It Needs a Plan.

AI educator and strategy advisor for bus

Kajal Jain

I help leaders turn AI ideas into governed business blueprints before the build 

Your business has an AI idea. Your team is ready to build. But does anyone know exactly what the agent should do? AI agents are easy to pitch. Getting them to solve the right business problem is another matter. A vendor can build what you ask for. But who decides what the agent should own, what data it can access, when a human must step in, and how you'll know the investment is working? Someone in your organization needs to turn the AI ambition into a clear, executable plan. If you're a COO, VP of Operations, business transformation leader, or the person responsible for delivering an AI initiative, that person may be you. The answer isn't another AI demo or a longer list of tools. It's a governed AI blueprint that connects your business goals, operating workflow, data, safeguards, and engineering direction before development begins. In this live, hands-on workshop, you'll bring one real business problem and use The Elixir, an AI planning platform, to develop and pressure-test a blueprint for an AI agent designed around your needs."

Turn your AI idea into a structured blueprint that business leaders can understand and technical teams can act on.

Define a business case worth building

Build governance into your agent's design

Design your AI agent's role and workflow

Prepare your blueprint for technical review

You must have a specific business problem you intend to solve with an AI agent and be actively planning its development.

A real AI agent project

You should be involved in planning, approving, or leading the AI agent initiative as a business owner, executive, or project leader.

Responsibility for the initiative

Founders, CEOs, and owners of growing small and mid-sized businesses ready to invest in AI but unsure how to plan the implementation.

COOs, VPs, and Directors of Operations responsible for improving business processes and turning AI initiatives into measurable results.

Heads of Innovation, Digital Transformation, and AI Programs responsible for turning business ideas into plans technical teams can act on.

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

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

AI for GTM

Sales

Customer Success

GTM Engineering

Everyone

Founders

Operators

Data Scientists

Business Analysts

User Researchers

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

The 2027 Shortlist

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Operations professionals who optimize processes and manage day-to-day business functions.

Broad professional audience — content relevant across many roles and functions.

Contacted the instructor with edits needed for listing

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.

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

Leading organizational AI adoption — change management, strategy, and building AI-ready teams.

Automating professional workflows with AI tools — productivity, operations, and task automation.

Design Your AI Stack with Clarity

What you'll learn

Why this topic matters

You'll learn from

George "Siosi" Samuels

CT Association