DS
Deepak Suhag
🤖Generative AI

Generative AI Course in District of Columbia

For engineers and builders in District of Columbia, this course goes past prompting into the engineering behind production GenAI.

  • Live cohorts, not recordings
  • Practitioner-taught
  • Community & placement
  • Lifetime access

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2,000+
Students trained
6
Courses live
4.8 ★
Avg rating
Yes
Placement support

Built for District of Columbia builders

Every module ends with something working — a RAG pipeline, an agent, an eval suite — built live alongside peers from District of Columbia and beyond. This goes past prompting into the actual engineering behind production GenAI.

Curriculum breakdown

Module 1: Prompt engineering and structured chains

District of Columbia students learn structured prompt design and function calling, not just one-off prompt tricks.

Topics covered

  • Prompt architecture and function calling
  • Structured output validation
  • Multi-step prompt chains

Module 2: RAG pipelines with vector databases

Building a working retrieval-augmented generation pipeline, end to end, as a District of Columbia student.

Topics covered

  • Chunking and ingestion strategy
  • Vector database selection and indexing
  • Retrieval quality evaluation

Module 3: Agents and tool use

Building an agent that uses tools reliably, for District of Columbia students moving beyond single-turn prompting.

Module 4: Evals, guardrails and deployment

Shipping what you've built with monitoring and safety guardrails in place.

How the cohort runs

Format and schedule

Live, project-based cohort

Fully online, live over Zoom, for District of Columbia learners and peers across every module.

Who this course is for

Engineers and builders

District of Columbia engineers who want the architecture behind production GenAI, not just API basics.

Technical founders

District of Columbia founders building an LLM-powered product who need to move past a fragile prototype.

Outcomes and support

Portfolio project

District of Columbia students leave with a working RAG or agent project they can show employers.

Prerequisites

Basic Python recommended

The course focuses on architecture decisions for District of Columbia students, not syntax fundamentals.

Note

Covers OpenAI, Anthropic (Claude), and open-source models, so District of Columbia students aren't locked into one provider's mental model.

Why District of Columbia builders choose Deepak Suhag

Taught by someone who ships production GenAI systems for clients — not a course built from documentation alone.

How it works

Simple, transparent process — from first contact to measurable results.

01

Enrol & Onboard

Instant portal access, cohort Slack invite, and full session calendar on day one.

02
🎥

Live Sessions

Weekly Zoom sessions with real campaign walkthroughs, live dashboard reviews, and Q&A.

03
📝

Build & Get Feedback

Hands-on assignments on your own campaigns with direct 1:1 feedback from Deepak.

04
🏆

Graduate & Network

Industry certificate, alumni community, job board access, and ongoing placement support.

Tools & platforms

The exact stack I use daily across growth marketing, web development, AI, and automation — no guesswork, no vendor lock-in.

Digital Marketing
Google AdsMeta AdsGA4Looker StudioSEMrushAhrefsHubSpotKlaviyoHotjarMailchimpLinkedIn AdsYouTube AdsTikTok AdsGoogle Search ConsoleUnbounceActiveCampaign
Website Development
Next.jsReactTypeScriptTailwind CSSWebflowWordPressShopifyFigmaVercelSupabasePrismaGitHubFramerWooCommercePostgreSQLNetlify
Gen AI & Data Science
ChatGPT / GPT-4oClaudeGeminiMidjourneyPythonHugging FaceLangChainJupyterPineconeStable DiffusionPandasGoogle ColabPerplexityElevenLabsRunway MLSuno AI
Agentic AI
n8nMakeLangGraphCrewAIAutoGenFlowiseDifyRelevance AIOpenAI AssistantsZapierCursorGitHub CopilotBolt.newLovableWindsurfVertex AI

Why work with Deepak

Here's what makes this different from every other option in District of Columbia.

Taught by a practitioner

Every module comes from live campaigns with real budgets — not textbook theory or outdated slides.

Live cohorts, not recordings

Ask questions in real time, get live feedback on your campaigns, and learn with a cohort of peers.

Practitioner-led curriculum

Real ad accounts, real case studies, real budgets — everything relevant to where you work, wherever that is.

Career-ready outcomes

Portfolio projects, alumni Slack, and direct referrals to companies actively hiring in your city.

FAQ

Everything you need to know

Still have a question that isn't answered here? Reach out directly — I respond to every inquiry personally.

Ask a question
01Do I need Python experience in District of Columbia?

Basic Python is recommended — the course focuses on architecture, not syntax.

02Which LLM providers do you cover?

OpenAI, Anthropic (Claude), and open-source models.

03Is this available for District of Columbia learners remotely?

Yes — the cohort runs fully online, live over Zoom.

04Do I get a project I can show employers in District of Columbia?

Yes — a working RAG or agent project is part of the curriculum.

DS

I started teaching because I was frustrated seeing marketers memorise theory they'd never use. Every lesson I teach comes from a live campaign, a real mistake, or a real win. You'll leave with skills you can use tomorrow morning.

Deepak SuhagGrowth marketer, District of Columbia
🤖Generative AI · District of Columbia

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