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Postgraduate Program in Generative AI
Build job-ready expertise in prompt engineering, large language models, AI automation, RAG systems, multimodal applications, AI agents, and LLM deployment through a 12-month postgraduate program designed for modern Generative AI careers.
Program Investment
$19,499
Complete 12-month program · All-inclusive
0 Months
Program Duration
0 Months
Internship Phase
0%
Mentor-Guided & Portfolio Focused
# Stratford Academy - Generative AI PGP
import openai
import langchain
from career import launch
student = GenerativeAIProfessional()
student.train(("6 months"))
student.intern(("6 months"))
student.build_llm_apps()
student.launch_career() # 🚀
Prompt Engineering
Practical Workflows
RAG & LLM Apps
Hands-On Projects
Placement Support
Career Guidance
About the Program
A Career-Oriented 12-Month Journey
Structured for outcomes: practical AI skills, project execution, internship exposure, and career transition.
The Postgraduate Program in Generative AI at Stratford Academy is a structured, career-oriented 12-month program designed for learners who want to build strong practical capabilities in LLM applications, prompt engineering, Retrieval-Augmented Generation, AI automation, agent-based systems, multimodal AI, and business-ready GenAI implementation.
This is not a research-heavy academic degree. It is a professional postgraduate certification program built for outcomes. The program combines industry-relevant depth with a guided format suited to modern learners and working professionals who want to move quickly into Generative AI roles.
The first 6 months focus on intensive technical learning across Python foundations, prompt engineering, OpenAI workflows, Hugging Face, LangChain, RAG pipelines, vector databases, GenAI product thinking, AI safety, and LLM app development. The following 6 months are dedicated to internship exposure, real-world project execution, portfolio development, AI case delivery, and structured job placement assistance.
Strong Foundations
Core knowledge in LLMs, prompts, automation, RAG, and AI product workflows
Internship Exposure
6-month dedicated internship and applied GenAI project phase
Interview Ready
Mock interviews, profile building, and AI role preparation
Professional Portfolio
Prompt libraries, AI apps, RAG systems, agent workflows, and capstone deliverables
Months 1–3
Core GenAI Foundations
LLMs, prompting, Python workflows, AI use cases, and tool ecosystem basics
Months 4–6
Advanced GenAI Skills & Capstone
RAG, AI agents, multimodal systems, safety, deployment, and career readiness
Months 7–9
Internship & Applied AI Projects
LLM apps, enterprise use cases, knowledge assistants, automation flows, and project reviews
Months 10–12
Placement & Career Launch
Portfolio polishing, mock interviews, applications, and freelancing readiness
Program Snapshot
Everything at a Glance
Key details about the program structure, format, and outcomes.
Program Name
Postgraduate Program in Generative AI
Duration
12 Months Total
Format
Online, Instructor-Led + Guided Practice + Internship
Learning Phase
6 Months Intensive Learning
Internship Phase
6 Months Applied Experience
Learning Model
Live classes, mentor-led labs, projects, internship, and placement prep
Outcome
PG Certificate + Internship Recognition
Ideal For
Graduates, professionals, developers, analysts, product learners, and career switchers
Why Choose Us
Why Stratford’s PGP in Generative AI?
Built around one core objective: career readiness through applied AI learning.
Complete 12-Month Progression
Not a short certificate — a complete professional journey with training and internship phases.
6 + 6 Training & Internship
6 months of guided technical learning followed by 6 months of immersive internship experience.
Real AI Projects & Case Studies
Strong emphasis on AI assistants, content generation systems, RAG apps, agents, and production-style workflows.
Aligned to Job Roles
Training mapped to Prompt Engineer, GenAI Specialist, LLM Application Developer, AI Automation Analyst, and AI Product roles.
Dedicated Placement Support
Mock interviews, resume building, AI portfolio coaching, and application strategy built in.
Industry-Relevant Tools
OpenAI APIs, LangChain, LlamaIndex, Hugging Face, vector databases, Streamlit, Gradio, and deployment tools.
Who We Are
Stratford Academy
An online-first academic institution focused on modern professional education in technology, analytics, artificial intelligence, cybersecurity, business, and digital transformation.
We design programs for learners who need more than theory. Our model combines expert instruction, guided practice, project-based learning, internship integration, and career support to help students build practical capability and professional confidence.
Global
Online Access
100%
Practical Focused
6 Mo
Structured Path
Live
Instructor-Led
Expert Instruction
Industry practitioners as faculty
Project-Based
Learning through real deliverables
Career Support
End-to-end placement guidance
Globally Accessible
Learn from anywhere in the world
Who Should Enroll
Is This Program Right for You?
Designed for ambitious learners ready to build a career in Generative AI and AI-driven product environments.
Fresh Graduates
Seeking a strong entry into AI careers with structured mentorship and project exposure.
Career Switchers
Working professionals planning a transition into Generative AI, automation, or AI-enabled product roles.
Engineers & Developers
Technical professionals wanting to build LLM apps, AI assistants, and automation workflows.
Business & Product Professionals
Learners who want to understand how GenAI transforms content, workflows, search, and decision systems.
Domain Specialists
Professionals from marketing, HR, education, operations, finance, healthcare, and SaaS who want applied GenAI expertise.
Structured Path Seekers
Learners wanting training + internship + placement support in one package.
TEACHING METHODS
How We Teach
A blended delivery model designed to support deep understanding and real-world application.
Live Instructor-Led Classes
Structured sessions led by experienced faculty and GenAI practitioners with real-time interaction.
Guided Hands-On Labs
Weekly practical sessions focused on prompts, APIs, pipelines, embeddings, agents, and app development.
Case-Based Learning
Business-driven scenarios across SaaS, e-commerce, operations, finance, education, marketing, and support functions.
Project-Based Assessments
Milestone projects throughout the program, not just end-term assignments.
Mentor Support
Faculty and mentors guide learners through problem solving, labs, project execution, and interview prep.
Internship Supervision
The internship phase includes project guidance, reviews, collaboration, progress tracking, and portfolio evaluation.
Career Preparation
Resume building, LinkedIn profiling, GitHub portfolio development, mock interviews, and application strategy.
Real AI Workflow Practice
Work with prompts, documents, enterprise knowledge, automation flows, and application scenarios to build confidence.
Program Benefits
What You Gain
Every element of this program is designed with your Generative AI career outcomes in mind.
-
Gain a structured postgraduate-level understanding of Generative AI tools, workflows, and application design
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Learn through a job-oriented curriculum designed around real AI use cases and business implementation
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Build a strong portfolio with guided projects, AI assistants, agent workflows, and application demos
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Complete an internship phase that strengthens your employability profile
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Receive support for placements, interviews, resume development, and job search strategy
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Develop flexibility to pursue full-time roles, AI consulting, or freelance automation assignments
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Learn in a format suitable for both fresh graduates and working professionals
Your Graduation Kit
GenAI Foundations
Hands-On Project Experience
Internship Exposure
Interview Readiness
Professional Portfolio
Career Launch Support
Program USPs
What Makes This Program Stand Out
Six distinct advantages that set this PGP apart.
01
Training + Internship in One Program
A 6-month academic training phase and a 6-month applied internship phase create stronger career outcomes than certificate-only programs.
02
Career-Oriented Curriculum
Every module is mapped to practical skills employers expect in AI automation, LLM apps, prompt engineering, and GenAI product roles.
03
Real Portfolio Development
Graduate with assistants, RAG apps, AI agents, dashboards, notebooks, reports, and internship deliverables that strengthen job applications.
04
Built-In Placement Assistance
Career guidance is integrated from the middle of the program onward.
05
Flexibility With Structure
Fully online while maintaining academic discipline, mentor checkpoints, assignments, and review cycles.
06
Multiple Career Pathways
Prepared not only for jobs but also for freelance AI implementations, automation consulting, and product support assignments.
Learning Outcomes
What You’ll Be Able to Do
Concrete skills and capabilities you’ll master by program completion.
Understand the Generative AI lifecycle from prompt design to deployment and evaluation
Use Python, APIs, embeddings, and vector databases for practical AI tasks
Build LLM-powered applications using structured workflows and frameworks
Create and evaluate prompt systems for content generation, automation, and reasoning tasks
Develop Retrieval-Augmented Generation pipelines and knowledge assistants
Work with multimodal AI tools for image, text, and workflow generation use cases
Communicate AI use cases clearly to technical and non-technical stakeholders
Build portfolio-ready case studies and internship outputs
Prepare for interviews across GenAI, AI product, automation, and LLM application roles
DETAILED CURRICULUM
12-Month Program Roadmap
A structured, month-by-month breakdown of your learning journey.
Phase 1: Training (Months 1–6)
Phase 2: Internship (Months 7–12)
M1
Generative AI Foundations, Python & AI Workflows
18 Lessons · 36–42 HoursModules Covered
- Introduction to Generative AI and industry use cases
- AI, ML, LLMs, transformers, and modern GenAI landscape
- Python foundations for AI workflows
- APIs, notebooks, JSON handling, and automation basics
- Prompt engineering fundamentals
- GenAI roles and business applications
Practical Work
- Prompt design exercises
- Python workflow tasks
- Use-case mapping assignments
- Initial security reports
Outcome: Students build the core technical foundation required for practical Generative AI work.
M2
Prompt Engineering, LLM APIs & Content Systems
18 Lessons · 36–42 HoursModules Covered
- Advanced prompt patterns and prompt chaining
- System prompts, multi-turn prompts, and role-based prompting
- Working with OpenAI APIs and model parameters
- Content generation workflows
- Text transformation, summarization, extraction, and rewriting pipelines
- Evaluation basics for output quality
Practical Work
- Prompt lab tasks
- API-based generation projects
- Quality testing exercises
Outcome: Students learn how to design reliable prompt systems for real-world business use cases.
M3
RAG, Embeddings & Vector Databases
20 Lessons · 40–46 HoursModules Covered
- Embeddings and semantic search concepts
- Retrieval-Augmented Generation architecture
- Document chunking and indexing
- Vector database foundations
- Building knowledge assistants
- Context injection, relevance, and answer quality
Practical Work
- Document QA projects
- RAG pipeline exercises
- Knowledge assistant prototypes
Outcome: Students gain exposure to one of the most important production use cases in modern GenAI systems.
M4
LangChain, Agents & AI Automation
20 Lessons · 40–46 HoursModules Covered
- LangChain / orchestration framework basics
- Chains, tools, memory, and agent thinking
- Workflow automation with GenAI
- AI assistants for support, operations, and internal productivity
- Agent-based task execution concepts
- Multi-step reasoning and decision flows
Practical Work
- AI automation tasks
- Agent workflow projects
- Tool-calling and reasoning exercises
Outcome: Students learn how LLMs move from prompting into application logic and intelligent workflows.
M5
Multimodal AI, Deployment & AI Safety
18 Lessons · 36–42 HoursModules Covered
- Multimodal AI use cases
- Image + text workflows
- Building demo apps with Streamlit / Gradio
- LLM application deployment basics
- AI safety, hallucinations, bias, and evaluation awareness
- Guardrails, governance, and responsible AI usage
Practical Work
- Demo app exercises
- Multimodal workflow tasks
- Safety review case studies
Outcome:Students build practical understanding of AI product delivery and responsible implementation.
M6
Capstone, Product Thinking & Career Readiness
18 Lessons · 36–42 HoursModules Covered
- Product thinking for Generative AI solutions
- Problem framing for AI assistants and automation
- Capstone planning
- AI portfolio building and project packaging
- Resume building and LinkedIn optimization
- Interview preparation for GenAI roles
Practical Work
- Capstone planning tasks
- Product idea scoping
- Profile-building assignments
Outcome: Students finish with job-relevant skills, practical projects, and readiness for the internship phase
M7
Internship Onboarding & Project Allocation
8–10 Sessions · 30–40 HoursFocus Areas
- Internship orientation
- Project role assignment
- Team collaboration and communication
- Project planning and documentation
- AI problem understanding
Deliverables
- Internship roadmap
- Project scope note
- Data / document review and project plan
Outcome: Interns align their prior learning with applied internship expectations.
M8
Applied LLM Apps & AI Assistants
8–10 Sessions · 30–40 HoursFocus Areas
- LLM-based application development
- Workflow and API integration
- Assistant behavior design
- Documentation and reporting
- UI demo readiness
Deliverables
- Mid-stage AI app
- Assistant demo
- Review presentation
Outcome: Interns strengthen real-world implementation skills through assistant and app-focused project work.
M9
RAG / Agents / Automation Track Work
8–10 Sessions · 30–40 HoursFocus Areas
- Track-based project execution
- Workflow optimization
- Practical evaluation and refinement
- Code and output review
Deliverables
- Track-specific project milestone
- Technical documentation
- Mentor review report
Outcome: Interns deepen their portfolio with more specialized project work.
M10
Client-Style GenAI Case Study & Portfolio
8–10 Sessions · 30–40 HoursFocus Areas
- Solving a business-style AI use case
- Professional reports and summary decks
- Portfolio polishing
- Freelancing readiness begins
Deliverables
- Client-ready case study
- Presentation deck
- Portfolio project packaging
Outcome: Interns begin packaging work into client-ready and interview-ready assets.
M11
Job Placement & Interview Readiness
8–12 Sessions · 35–45 HoursFocus Areas
- Resume refinement
- Mock interviews
- GenAI role interview practice
- Communication training
- Job application strategy
Deliverables
- Placement readiness checklist
- Interview practice scorecards
- Updated professional portfolio
Outcome: Interns prepare to convert project work into actual career opportunities.
M12
Final Internship Closure & Career Transition
8–12 Sessions · 35–45 HoursFocus Areas
- Final project presentation
- Internship evaluation
- Placement pipeline support
- Freelancing proposal drafting
- Career direction planning
Deliverables
- Final internship presentation
- Program completion review
- Placement and client-readiness portfolio
Outcome: Interns complete the program with a stronger portfolio, clearer positioning, and practical readiness.
SYLLABUS SUMMARY
Complete Syllabus at a Glance
A consolidated view of all academic and career modules covered across the program.Core Academic Modules
- Generative AI Foundations
- Python for AI Workflows
- Prompt Engineering
- OpenAI API Workflows
- Content Generation Systems
- Embeddings & Semantic Search
- RAG Pipelines
- Vector Databases
- LangChain / Orchestration Frameworks
- AI Agents & Automation
- Multimodal AI Basics
- Streamlit / Gradio App Building
- AI Safety & Responsible AI
- Capstone Preparation
- Product Thinking for GenAI
- Professional Portfolio Development
Internship & Career Modules
- Internship Orientation
- Project Documentation
- Team Collaboration
- Applied GenAI Execution
- RAG / Agent / AI App Track Projects
- Client-Style Case Studies
- Resume and LinkedIn Development
- Mock Interviews
- Job Application Support
- Freelancing Readiness
TOOLS COVERED
Industry-Standard Tech Stack
Work with the tools that modern Generative AI teams actually use.
Programming & Core AI
LLM & GenAI Frameworks
RAG & Retrieval Stack
Application & Deployment
Workflow & Collaboration
Specializations
Choose Your Focus Area
Align your projects with one or more specialization pathways during the program.
Specialization 01
Prompt Engineering & AI Content Systems
Prompt design, content workflows, structured output generation, and quality optimization.
Specialization 02
RAG & Knowledge Assistants
Document retrieval, enterprise search, QA systems, embeddings, and vector-based assistants.
Specialization 03
AI Agents & Workflow Automation
Agent-driven task execution, tool calling, intelligent automation, and multi-step workflows.
Specialization 04
Multimodal AI Applications
Text + image workflows, creative AI systems, and user-facing assistant experiences.
Specialization 05
GenAI Product & Business Applications
Business use case mapping, internal copilots, customer support assistants, and AI solution design.
Your Path
Build Your Generative AI Career
Combine specialization-focused projects to create a profile that stands out in the AI job market.
CAPSTONE & PROJECTS
Real-World Project Experience
Multiple project checkpoints and a final internship-style experience.
AI Content Assistant
Prompt Optimization Engine
Enterprise Knowledge Bot
RAG-Based Document Assistant
Customer Support Copilot
AI Workflow Automation Project
Multimodal Demo App
AI Product Case Study
Your Deliverables Portfolio
Prompt Libraries
AI App Demos
RAG Workflows
Presentation Summaries
Technical Documentation
Final Portfolio Artifacts
CAREER ASSISTANCE
Hiring Support & Career Guidance
Career guidance integrated throughout the program with intensive support during internship.
Career Support Includes
- Career counseling sessions
- Resume and profile building
- LinkedIn optimization
- GitHub project organization
- Mock interviews
- GenAI interview practice
- Case study discussions
- Application strategy planning
- Job-readiness feedback
- Role mapping for Generative AI positions
Target Roles
Generative AI Analyst
Prompt Enginee
LLM Application Developer
AI Automation Specialist
AI Product Associate
Conversational AI Associate
Knowledge Assistant Developer
AI Solutions Associate
GenAI Consultant
Industry Sectors
Technology
SaaS
FinTech
Healthcare
Consulting
EdTech
Marketing & Media
Operations & Enterprise Services
HIRING PARTNER ECOSYSTEM
Industry Hiring Network
Stratford Academy supports learners through a growing hiring ecosystem that includes AI teams, SaaS companies, consulting firms, digital businesses, operations-driven organizations, startups, and employer networks seeking talent in automation, AI product support, LLM applications, and enterprise AI use cases.
Technology
SaaS
FinTech
Healthcare
Consulting
EdTech
Marketing & Media
Operations & Enterprise Services
FREELANCING PATHWAYS
Independent Work & Consulting
Beyond jobs — prepare for freelance AI implementation work and automation consulting.
Freelancing Readiness
- Building a portfolio for client visibility
- Writing proposals for AI assistant and automation projects
- Creating service packages for prompt design, content systems, and knowledge bots
- Pricing entry-level freelance GenAI services
- Communicating with clients and managing project scope
- Delivering AI demos, reports, and workflow summaries
Freelance Project Types
- Prompt system design
- AI content workflows
- Knowledge assistant development
- RAG setup support
- Customer support copilots
- Workflow automation demos
- AI solution discovery reports
CERTIFICATION
Your Credentials
Industry-recognized certifications upon successful program completion.
PG Program Certificate
Postgraduate Program in Generative AI Certificate
Internship Recognition
Internship Completion Recognition for applied work
Capstone Recognition
Project / Capstone Recognition for qualifying submissions
WHY THIS INTERNSHIP WORKS
Built for Serious Career Growth
See how this program compares to other learning pathways.
Short Certificate
2–3 Months
Limited Depth
No Internship
No Placement
Basic Tools
Self-Paced Learning
Variable Time
No Structure
No Mentorship
No Internship
Self-Guided
Stratford PGP ⭐
12-Month Structured
Deep Applied Learning
6-Month Internship
Full Placement Support
Industry Tools Stack
Master’s Degree
18–24 Months
Research Heavy
Theory Focused
Delayed Market Entry
High Cost
PROGRAM INVESTMENT
Invest in Your Future
One comprehensive program. One transparent price. Everything you need to launch your Generative AI career.
Most Popular
Postgraduate Program in Generative AI
12-Month Industry-Integrated Program
$
19,499
Complete program fee · All-inclusive
Everything Included
- 6 months intensive live training
- Live instructor-led sessions
- Mentor support and reviews
- Prompt, RAG, automation, agent, and app-building projects
- OpenAI, LangChain, Hugging Face, vector DB, and deployment exposure
- 6 months guided internship
- Capstone project guidance
- Portfolio development
- Placement assistance and mock interviews
- Resume, LinkedIn, and GitHub optimization
- Freelancing readiness modules
- PG Certificate + Internship Recognition
Career support included throughout the program and beyond
Complete Qualification
More depth than a short certificate, more practical than a theory-heavy degree
Real Internship Included
6 months of supervised internship, project work, and portfolio building
Placement + Freelancing
Mock interviews, resume coaching, application strategy, and freelance readiness
All Tools & Platforms
OpenAI APIs, LangChain, vector databases, Hugging Face, Streamlit, and deployment tools
Live Mentor Guidance
Structured support from instructors and mentors across labs, projects, and internship work
Portfolio-Driven Learning
Build assistants, RAG apps, automation workflows, case studies, and capstone artifacts that strengthen your profile
FAQ
What is the Postgraduate Program in Generative AI?
It is a 12-month industry-integrated program that combines 6 months of guided training with 6 months of internship exposure, project execution, and placement support.
Is this program beginner-friendly?
Yes. It is suitable for motivated beginners, fresh graduates, developers, analysts, and career switchers who want a structured entry into Generative AI.
Do I need prior AI experience?
No prior work experience is required, though familiarity with Python, APIs, or digital workflows can be helpful.
What topics are covered during the program?
The program covers GenAI foundations, prompt engineering, OpenAI API workflows, RAG, embeddings, vector databases, LangChain, AI agents, multimodal AI, safety, deployment, and capstone development.
Is there an internship included?
Yes. The second 6 months are dedicated to internship-style applied work, project execution, portfolio development, and career support.
What tools will I learn?
Students work with Python, OpenAI APIs, Hugging Face, LangChain, LlamaIndex, vector DB exposure, Streamlit, Gradio, GitHub, deployment basics, and technical documentation workflows.
Will I work on real projects?
Yes. Learners complete guided labs, case studies, AI assistants, automation projects, RAG apps, demos, and internship deliverables across the full 12 months.
What kind of job roles can this program prepare me for?
The program is aligned with roles such as Prompt Engineer, Generative AI Analyst, LLM Application Developer, AI Automation Specialist, AI Product Associate, and GenAI Consultant.
Is this program theory-heavy?
No. It is career-oriented and practical, with strong emphasis on labs, projects, internship exposure, and deliverables.
Will I receive career support?
Yes. The program includes resume guidance, LinkedIn optimization, GitHub support, mock interviews, job-readiness coaching, and application strategy planning.
What will I build during the program?
Students build a portfolio of prompt libraries, AI assistants, RAG apps, workflow demos, case studies, technical documentation, and capstone deliverables.
Can this program help with freelance work?
Yes. Freelancing readiness is included through client-style project packaging, AI solution scoping, and workflow consulting exposure.
What certification will I receive?
Eligible learners may receive a Postgraduate Program in Generative AI Certificate, Internship Recognition, and Capstone Recognition where applicable.
Is the program fully online?
Yes. The program is delivered online with live instruction, guided labs, mentor reviews, internship support, and career assistance.
What makes this program different from a short Generative AI certificate?
This program offers much more depth, structured progression, internship experience, portfolio-building, and placement support compared with short certificate-only pathways.
READY TO BUILD YOUR
CAREER IN GENERATIVE AI?
Join Stratford Academy’s Postgraduate Program in Generative AI and gain the technical skills, project experience, internship exposure, and placement support needed to compete in today’s AI-driven job market.