Course Overview
Duration: 12 Weeks (15-18 hours/week)
Level: Beginner-Friendly (No AI experience required)
Format: 100% Online, Self-Paced with Milestones
Outcome: Entry-Level GenAI Generalist Ready
Who Is This For?
Developers transitioning to generative AI
Content Creators wanting to leverage GenAI tools
Tech Entrepreneurs building AI-powered products
Career Switchers entering the GenAI field
Anyone ready to commit 15-18 hours/week for 12 weeks
Prerequisites
- Familiarity with GenAI concepts (covered in Weeks 1-2)
- Willingness to experiment and build
- Computer with internet connection
- No GenAI experience needed—we start from fundamentals!
What You'll Learn
GenAI Technical Skills
- Text Generation: Build LLM applications (content, chatbots, automation)
- Image Generation: Create AI art with Stable Diffusion and DALL-E
- Audio Generation: Generate voice, music, and podcasts with AI
- Multi-Modal AI: Combine text, vision, and audio in single applications
- Workflow Automation: Create AI-powered content pipelines
- GenAI APIs: Deploy production GenAI services [Using Vibe Coding and Claude]
- Analytics: Build AI-powered analytics and insights tools
GenAI Frameworks & Tools
- LangGraph for AI orchestration and chains
- Hugging Face for open-source models
- Vector databases (ChromaDB, Pinecone)
- Prompt engineering for optimal GenAI outputs
- Cloud deployment for GenAI applications
Career Readiness
- Build a professional GenAI portfolio
- Optimize your resume for GenAI roles
- Apply to 40+ positions with confidence
- Prepare for GenAI interviews
- Start earning through GenAI freelance work
- Network in GenAI communities
12-Week Curriculum Breakdown
Weeks 1-2: AI & Prompt Engineering Fundamentals
- Understanding AI and generative AI landscape
- Mastering prompt engineering for GenAI
- Text, image, and audio model overview
- AI-first development workflow
- Deliverable: First GenAI content generator deployed
Weeks 3-5: Multi-Modal GenAI Development
- Text generation with LLMs (Gemini, Groq, Hugging Face)
- Image generation with Stable Diffusion
- Audio generation with TTS and music models
- Multi-modal AI (vision-language models)
- Deliverables: 3 deployed GenAI apps (text, image, audio)
Weeks 6-8: No-Code/Low-Code GenAI Systems
- LangGraph and vector databases
- Document intelligence systems
- GenAI API development (FastAPI)
- Workflow automation with GenAI
- Deliverables: 3 advanced GenAI applications
Weeks 9-10: Production & Integration using Vibe Coding
- GenAI for data analytics and insights
- Building integrated GenAI platforms
- Production deployment best practices
- Cost optimization for GenAI apps
- Deliverables: 2 integrated GenAI applications
Weeks 11-12: Career Launch
- Portfolio optimization for GenAI roles
- Resume and LinkedIn for GenAI positions
- Interview preparation (GenAI-specific)
- Freelance platform setup (RentPrompts, Upwork)
- Mass job application sprint (40+ applications)
- Deliverables: Job-ready profile, active pipeline
Career Outcomes
Roles You'll Be Ready For
- Entry-Level GenAI Generalist
- Generative AI Application Developer
- GenAI Content Specialist
- AI Automation Engineer
- Multi-Modal AI Developer
Skills Employers Want (Cited from Real Job Descriptions)
- GenAI application development (chatbots, content generators)
- API integration (OpenAI, Anthropic, Hugging Face)
- Prompt engineering and evaluation
- LangGraph and LlamaIndex frameworks
- Multi-modal AI (text + image + audio)
- Workflow automation with AI
- Python proficiency and cloud platforms
Learning Format
Teaching Methodology
- Project-Based Learning: Learn by building real GenAI apps
- AI-Assisted Development: Use AI tools as coding partners
- Multi-Modal Focus: Cover all GenAI modalities (text, image, audio)
- Immediate Deployment: Ship projects as you build
- Progressive Complexity: Simple → Advanced → Integrated
Assessments
- Weekly GenAI project deliverables
- End-of-phase portfolio reviews
- Mock GenAI technical interviews
- Final capstone project demonstration
What You'll Receive
- 10 Production GenAI Applications (deployed across all modalities)
- Professional Portfolio Website (showcasing GenAI expertise)
- GitHub Repository (clean, documented GenAI code)
- GenAI Resume Templates (ATS-optimized for GenAI roles)
- Interview Preparation Materials (GenAI-specific questions)
- Freelance Platform Profiles (RentPrompts, Upwork, specialized GenAI gigs)
- Access to GenAI Communities (Discord, LinkedIn groups, Hugging Face)
- Continuous Learning Roadmap (Level 2: Advanced GenAI)
Program Highlights
Multi-Modal Portfolio
- Text: Content generation, chatbots, automation
- Image: Art generation, editing, style transfer
- Audio: Voice synthesis, podcasts, music
- Multi-Modal: Vision + language integrated systems
- APIs: Production-ready GenAI services
Community & Support through RentPrompts Discord Community
- Daily GenAI discussions and Q&A
- Peer reviews on GenAI projects
- Prompt engineering workshops
- Job opportunity sharing
- Mock interview practice
Frequently Asked Questions
A: No! We start with GenAI fundamentals in Weeks 1-2. Basic programming is helpful but not required.
A: "GenAI Generalist" means you're versatile across ALL GenAI modalities (text, image, audio) vs. specialists who focus on just one.
A: Yes! All tools (Gemini, Groq, Hugging Face, Stable Diffusion, etc.) have free tiers. Optional paid tools available after you earn money.
A: Yes! 15-18 hours/week is designed for working professionals and students (3-4 hours per weekday + weekends).
A: You'll be job-ready, but hiring timelines vary by market. Our data: 60-70% get interviews within 3 months, 40-50% get offers within 6 months.
A: AI Developer: Full-stack AI apps (voice, vision, RAG, APIs). GenAI Generalist: Multi-modal GenAI focus (text, image, audio generation). Choose based on career goal.
A: No! We use cloud-based free tools (Google Colab, Hugging Face) and APIs. Your laptop is sufficient.
A: Self-paced with milestones. You can extend, but completing in 12 weeks builds momentum and job-search urgency.
A: Your portfolio of 10 deployed GenAI apps is more valuable than a certificate. Completion certificate available upon request.
