Training your team can
use on Monday morning.

Five hands-on modules written out of delivery work, not a curriculum. For engineers building RAG and agent systems, and for marketing and sales teams who want AI doing real work in their week. Tools and stack flex to your reality.

Dr. Miodrag Cekikj, founder and training instructor at Adopt Intelligence

“The gap between teams that understand AI and teams that don’t is widening every week. We teach from production systems we’ve actually shipped, so you leave with skills, not slideware.”- Dr. Miodrag Cekikj, Founder & AI Innovation Lead

Five modules. No filler.

Every one of them has already been delivered and validated with companies and individual professionals. Pick one, or sequence them. Open a module for the full curriculum.

  • Enhance LLMs with external, real-time data. Build AI applications that deliver accurate, context-aware, grounded responses, in the cloud or on-prem.

    Sessions

    1. RAG on Azure & AI ServicesBuild your first RAG solution with AI Search, Document Intelligence and Speech-to-Text.
    2. Evaluation & open-source frameworksLlamaIndex and LangChain, model evaluation, GraphRAG, NL-to-SQL techniques.

    You will leave able to

    • Apply RAG principles for reliable, factual AI systems
    • Use advanced patterns: single & multi-index strategies
    • Prototype and deploy on Azure AI Foundry
    • Build full-stack RAG with LlamaIndex and LangChain
    • Evaluate correctness with custom logic & similarity metrics
    On the bench
    • Azure AI Foundry
    • Azure AI Search
    • Document Intelligence
    • LlamaIndex
    • LangChain
    • GraphRAG

    Basic Azure helpful. OOP + Python expected. GenAI basics advantageous.

    Ask about this module

  • Build systems that autonomously perform tasks, make decisions, and collaborate. Tackle complex real-world challenges with multi-agent architectures.

    Sessions

    1. Intro to AI agents & building in the cloudArchitecture, potential, and practical steps for your first agent in a cloud environment.
    2. Orchestration with Microsoft Agent FrameworkComplex agentic workflows: tools, functions, and multi-agent collaboration.

    You will leave able to

    • Reason about agent architecture, capabilities, limitations
    • Deploy agents on Azure AI Studio with tools & custom APIs
    • Work fluently in Semantic Kernel
    • Build agent-centric APIs for system integration
    • Orchestrate multiple agents toward strategic goals
    • Plan real-world deployment & cost strategies
    On the bench
    • Azure AI Studio
    • Semantic Kernel
    • Microsoft Agent Framework
    • Agent APIs

    Solid GenAI, LLM, and RAG understanding. OOP proficiency required.

    Ask about this module

  • Integrate AI tools across the full development lifecycle. Accelerate coding, prototyping, and innovation within business processes.

    Sessions

    1. LLMs for development & advanced promptingCoding, debugging, business analysis, presales, plus deep-dive prompt engineering.
    2. Practical guide to AI engineering toolsHands-on with Cursor, MS Copilot, and the modern AI developer toolkit.

    You will leave able to

    • Accelerate development: generate code, debug, automate
    • Rapidly build functional prototypes to validate ideas
    • Identify processes ripe for “AIfication” in projects
    • Use AI as a collaborative partner for digital products
    • Optimize the SDLC, from BA & requirements to QA
    On the bench
    • Cursor
    • Microsoft Copilot
    • ChatGPT
    • Claude

    No prior AI knowledge required. Basic LLM understanding is a plus.

    Ask about this module

  • A working module for working marketers. Three sessions that follow the arc of a real campaign: research it, produce it, ship it. Each one hands-on in the tools your team will actually use the next day. You bring a live campaign; we build it together.

    Sessions

    1. Research, strategy & analysisMarket and competitor research with Perplexity that would take an agency a week. ChatGPT, Claude and Gemini as strategy partners for positioning, briefs and audience work, then turning campaign data into a narrative your CMO can act on.
    2. Content & creative that hold the brand lineA brand-voice system your whole team can prompt with. On-brand copy at scale with Jasper, presenter-led video without a studio in Synthesia, visuals and decks in Canva and Prezi.
    3. Shipping: agents, pages, campaigns liveAgentic campaign operations with Manus and GenSpark, from briefs to assets to scheduling. Then a landing page designed, built and published in Lovable before the session ends.

    You will leave able to

    • Compress a week of desk research into an afternoon
    • Turn one brief into a full campaign kit: copy, visuals, video, deck
    • Codify your brand voice so every prompt sounds like you
    • Publish a landing page with zero engineering time
    • Hand repetitive campaign ops to an agent, and check its work
    • Report on campaigns with analysis, not just dashboards
    On the bench

    Built for marketers, not engineers. No technical background needed. Bring a real campaign to work on.

    Ask about this module

  • Most sales AI advice stops at “write your emails with ChatGPT.” This module goes further: signal-based qualification, research-grade personalisation, and a pipeline that maintains itself, run against your live accounts and your actual CRM.

    Sessions

    1. Qualification & account researchProspecting on buying signals instead of gut feel. Deep account research with Perplexity: news, hiring, tech stack, triggers. Then ICP scoring with Claude and ChatGPT, benchmarked against your own closed-won history.
    2. Outreach that earns repliesPersonalisation at scale with Claude and ChatGPT that doesn’t read like mail-merge. Sequence design, message testing, and objection-handling practice against an AI buyer that pushes back.
    3. Pipeline hygiene & forecastingTurning call notes and transcripts into structured CRM updates with an LLM: next steps, stage changes, risk flags. Forecast reviews grounded in what was actually said on the call, not optimism.

    You will leave able to

    • Score and prioritise accounts by signals, not intuition
    • Research any account in minutes, to first-meeting depth
    • Run outreach that is personal at scale, and measurably better
    • Rehearse discovery calls and objections against an AI buyer
    • Turn every call into a clean CRM record without typing
    • Walk into forecast reviews with evidence, not anecdote
    On the bench

    Tooling on demand. Enrichment, conversation-intelligence and CRM automation platforms are covered on request and matched to the stack you already run, so what you learn applies to your systems on day one.

    No technical background needed. Live pipeline and CRM access make it concrete.

    Ask about this module
  • 1:1 Tailored Programmes Individual growth paths and enterprise team programmes, designed around your goals. Individuals & enterprises

Every programme here has already been taught.

These are not proposals. Each module has been delivered and validated with companies and individual professionals, in enterprise workshops, at industry conferences, in technical communities and in 1:1 programmes across Europe. What you see is what has already worked in the room, refined each time it ran.

When a module isn’t the shape of your problem.

Dedicated 1:1 programmes designed around your goals, for one career or one company.

Personal AI Growth Path

Your AI journey is unique. Let’s figure it out together.

  • Free 1:1 career assessment. We evaluate your skills and interests, and map the AI specialty path that fits you.
  • Custom training plan. A hands-on programme built around your pace, goals and chosen AI domain.
  • We build it together. Ongoing mentorship and collaboration, so you grow with confidence rather than alone.

Enterprise AI Training

One programme per team: engineering, product, marketing, sales, ops.

  • Full organisational assessment. AI readiness across departments and processes.
  • Business-tailored plans. Different departments get different programmes, built from the five modules and your workflows.
  • Measurable outcomes. KPIs, progress tracking, and impact measurement from day one.

Ready when your team is.

Tell us where you are with AI and we’ll suggest the module, sequence or programme that fits. Whether it’s one module, a full path or an assessment for your organisation, it starts with the same message.

miodrag.cekikj@adoptintelligence.com

Goes straight to Dr. Miodrag Cekikj, who designs and delivers the training.