DS
Deepak Suhag
🤖Generative AI

Generative AI Course in Haight-Ashbury

For engineers and builders in Haight-Ashbury, this course goes past prompting into the engineering behind production GenAI.

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

Enrol or get details

Tell me about your goals — I'll reply within 24 hrs.

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

Built for Haight-Ashbury builders

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

Curriculum breakdown

Module 1: Prompt engineering and structured chains

Haight-Ashbury 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 Haight-Ashbury 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 Haight-Ashbury 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 Haight-Ashbury learners and peers across every module.

Who this course is for

Engineers and builders

Haight-Ashbury engineers who want the architecture behind production GenAI, not just API basics.

Technical founders

Haight-Ashbury founders building an LLM-powered product who need to move past a fragile prototype.

Outcomes and support

Portfolio project

Haight-Ashbury students leave with a working RAG or agent project they can show employers.

Prerequisites

Basic Python recommended

The course focuses on architecture decisions for Haight-Ashbury students, not syntax fundamentals.

Note

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

Why Haight-Ashbury 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 Haight-Ashbury.

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 Haight-Ashbury?

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 Haight-Ashbury learners remotely?

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

04Do I get a project I can show employers in Haight-Ashbury?

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, Haight-Ashbury
🤖Generative AI · Haight-Ashbury

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