DBA
Education
CXO
MBA
Data Science and Analytics
Machine Learning and AI
Management
Accounting and Finance
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Are you still searching for a summer internship?
Stop waiting to be picked
And turn stress into something recruiters can actually see
Summer Career Accelerator
Build real, industry-ready work in just 7.5 weeks.
Earn 3 university credits from Golden Gate University.
Learn Agentic AI with Golden Gate University faculty and apply it to a high-demand domain of your choice: Finance, Marketing, Analytics/Consulting, or Product & Project Management.
So we built something better.
Instead of waiting for someone to choose you, you’ll spend 7.5 weeks building work that speaks for itself.
Real Projects
Real Outputs
Real Portfolio
*GGU is WASC accredited, but check with your university to confirm that the credits can be transferred into your program.
About the Domains
Finance
Turn data into decisions that actually move money.
Instead of just learning theory, you’ll build AI agents that can analyze markets, track financial trends, and generate insights in real time. Think: automating equity research, building portfolio trackers, or creating tools that simulate investment strategies.
By the end, you’ll have projects that show you understand how finance works and how to use AI to make smarter, faster decisions—something most candidates can’t demonstrate.
Walk into finance interviews with proof that you can go beyond Excel and actually build intelligent systems.
Marketing
Go from “ideas” to campaigns that perform.
You’ll learn how to use Agentic AI to research audiences, generate high-converting content, and optimize campaigns automatically. Build tools that can analyze competitors, run A/B tests, and refine messaging without constant manual effort.
Instead of saying you “like marketing,” you’ll show how you can drive growth using AI—something every brand is actively looking for right now.
Your portfolio won’t just have mock campaigns—it’ll have systems that think, test, and improve on their own.
Analytics / Consulting
Solve real business problems with data + AI.
This is where structured thinking meets execution. You’ll build AI agents that can clean data, generate insights, and even recommend business strategies.
Think: automating client reports, building dashboards that explain why something is happening, or creating tools that simulate business decisions.
You won’t just learn frameworks—you’ll apply them to real-world scenarios and show that you can break down messy problems and turn them into clear, actionable outcomes.
That’s exactly what consulting firms look for—but rarely see in fresh candidates.
Product / Project Management
Learn how to build, ship, and scale smarter.
You’ll use Agentic AI to plan products, prioritize features, automate workflows, and manage execution. From writing PRDs to building AI-powered prototypes, you’ll understand what it actually takes to take an idea from zero to launch.
Instead of just talking about “leadership” or “coordination,” you’ll show how you can use AI to move faster, make better decisions, and manage complexity.
By the end, you'll have completed real projects - not just case studies - which is what recruiters care about most.
*Golden Gate University is WASC accredited, but check with your university to confirm that the credits can be transferred into your program.
HOW IT WORKS
Designed for your summer
Program Proposal, Teaching Plan, and Credit Hour Justification. Select one of the four tracks that aligns with your interests and career goals.
Turn data into decisions that drive real financial impact by building AI agents for market analysis, trend tracking, and real-time insights. Create tools like equity research automation, portfolio trackers, and investment simulators.
Prove you understand finance with AI-driven projects and walk into interviews with real systems—not just Excel skills.
Agents automate market monitoring, earnings analysis, SEC filing extraction, and investment memo drafting, with a portfolio that mirrors tools used at Goldman Sachs, JPMorgan, and Schroders.
- Week 1: Agent Architecture - How AI agents work, how to give them good instructions, and responsible use (agent architecture, prompt engineering, ethics)
- Week 2: RAG + Tool Use - Connecting agents to documents and data sources, and measuring whether they work (tool use, RAG, APIs, evaluation)
- Week 3: Market Monitoring Agent - Your industry’s data sources; build your first domain-specific AI tool
- Week 4: Earnings Transcript Analyzer - Connecting multiple agents into a single workflow for your domain
- Week 5: 10-K Summarizer + Extraction - Advanced builds + mid-course peer review across tracks
- Week 6: Investment Memo + Stress-Test - Breaking your own agent: finding what fails and documenting why. Structured “break your own agent” stress-test with adversarial inputs before documenting failures. This week also covers SEC disclosure compliance and fiduciary duty considerations for AI-generated investment content.
- Week 7: Deploy + Present - Publishing your portfolio and preparing your walkthrough
- Week 8: Capstone - Final presentations, peer feedback, and program wrap-up
Go from “ideas” to campaigns that perform using Agentic AI to research audiences, create high-converting content, and optimize campaigns automatically. Build tools for competitor analysis, A/B testing, and messaging refinement.
Prove you can drive growth with AI through a portfolio of systems that test, learn, and improve—not just mock campaigns.
Agents automate SEO research, ad copy, reporting, and email sequences, aligned with the AMA 2025 Competency Model. 84% of campaign setup tasks may be automated by 2026.
- Week 1: Agent Architecture - How AI agents work, how to give them good instructions, and responsible use (agent architecture, prompt engineering, ethics)
- Week 2: RAG + Tool Use - Connecting agents to documents and data sources, and measuring whether they work (tool use, RAG, APIs, evaluation)
- Week 3: SEO Brief + Keyword Agent - Your industry’s data sources; build your first domain-specific AI tool
- Week 4: Ad Copy + A/B Variants - Connecting multiple agents into a single workflow for your domain
- Week 5: Campaign Performance Agent - Advanced builds + mid-course peer review across tracks
- Week 6: Email Sequence + Stress-Test - Breaking your own agent: finding what fails and documenting why. Stress-test, including FTC advertising disclosure, brand safety, and data privacy considerations for AI-generated campaigns.
- Week 7: Deploy + Present - Publishing your portfolio and preparing your walkthrough
- Week 8: Capstone - Final presentations, peer feedback, and program wrap-up
Solve real business problems with data + AI by building AI agents that clean data, generate insights, and recommend strategies. Create tools for automated reports, insightful dashboards, and business simulations.
Apply structured thinking to real scenarios and show you can turn messy problems into clear, actionable outcomes—a key skill consulting firms look for.
Agents replicate SQL retrieval, data cleaning, predictive insight interpretation, and slide generation, aligned with CRISP-DM and McKinsey BA workflows.
- Week 1: Agent Architecture - How AI agents work, how to give them good instructions, and responsible use (agent architecture, prompt engineering, ethics)
- Week 2: RAG + Tool Use - Connecting agents to documents and data sources, and measuring whether they work (tool use, RAG, APIs, evaluation)
- Week 3: Ask-Your-Database Agent - Your industry’s data sources; build your first domain-specific AI tool
- Week 4: Data Cleanup + Insight Narrative - Connecting multiple agents into a single workflow for your domain
- Week 5: Predictive Insight Agent - Advanced builds + mid-course peer review across tracks
- Week 6: Slide Deck + Stress-Test - Breaking your own agent: finding what fails and documenting why. Stress-test, including model fairness, bias auditing, and data governance for AI-generated insights.
- Week 7: Deploy + Present - Publishing your portfolio and preparing your walkthrough
- Week 8: Capstone - Final presentations, peer feedback, and program wrap-up
Learn to build, ship, and scale smarter using Agentic AI to plan products, prioritize features, and automate execution. From PRDs to AI-powered prototypes, take ideas from zero to launch.
Show how you drive decisions, speed, and execution with AI—not just talk about leadership. Graduate with real projects, not just case studies.
Agents streamline user research synthesis, PRD generation, competitive intelligence, and metrics definition, aligned with Reforge PM foundations and Lenny Rachitsky’s hiring framework.
- Week 1: Agent Architecture - How AI agents work, how to give them good instructions, and responsible use (agent architecture, prompt engineering, ethics)
- Week 2: RAG + Tool Use - Connecting agents to documents and data sources, and measuring whether they work (tool use, RAG, APIs, evaluation)
- Week 3: User Research Synthesizer - Your industry’s data sources; build your first domain-specific AI tool
- Week 4: PRD + User Story Generator - Connecting multiple agents into a single workflow for your domain
- Week 5: Competitive Intelligence Agent - Advanced builds + mid-course peer review across tracks
- Week 6: Metrics/OKR + Stress-Test - Breaking your own agent: finding what fails and documenting why. Stress-test, including user research ethics, consent frameworks, and responsible AI design considerations.
- Week 7: Deploy + Present - Publishing your portfolio and preparing your walkthrough
- Week 8: Capstone - Final presentations, peer feedback, and program wrap-up
HOW IT WORKS
Designed for your summer
Program Proposal, Teaching Plan, and Credit Hour Justification. Select one of the four tracks that aligns with your interests and career goals.
Choose one of the tracks below.
- Finance Track: Agents automate market monitoring, earnings analysis, SEC filing extraction, and investment memo drafting, with a portfolio that mirrors tools used at Goldman Sachs, JPMorgan, and Schroders.
- Marketing Track: Agents automate SEO research, ad copy, reporting, and email sequences, aligned with the AMA 2025 Competency Model. 84% of campaign setup tasks may be automated by 2026.
- Analytics and Consulting Track: Agents replicate SQL retrieval, data cleaning, predictive insight interpretation, and slide generation, aligned with CRISP-DM and McKinsey BA workflows.
- Product/PM Track: Agents streamline user research synthesis, PRD generation, competitive intelligence, and metrics definition, aligned with Reforge PM foundations and Lenny Rachitsky’s hiring framework.
Golden Gate University
Set in the innovation hub of San Francisco, Golden Gate University (GGU) places you at the center of the AI revolution. Surrounded by pioneers like Google, Meta, OpenAI, and Salesforce, students gain direct exposure to the ideas and companies shaping the future of artificial intelligence.
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Taught by people who've done the job.
Professionals and researchers currently working in the field, including faculty from Golden Gate University, lead every session—bringing real industry experience and a strong understanding of what employers actually look for.
Golden Gate University Faculty
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Subject Matter Experts
Professionals and researchers currently working at the intersection of AI and real-world applications — from leading tech companies to innovative startups — who show you how these tools are being used in practice today.
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upGrad Learning Team
Asia's largest online higher education platform, with a track record of connecting students directly to employment outcomes. Handling curriculum design and student support throughout.
Golden Gate University Professor of Practice faculty will be announced before the cohort opens. Stay focused! All instructors are vetted by Golden Gate University and bring a minimum of 5 years of industry experience in applied AI and real-world technology applications.
A blank summer is optional.
Learner Support
Available from 9 AM to 8 PM GMT (Monday - Friday)
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