The Agentic AI Full-Stack Internship Program by SkoolSaver is a comprehensive, hands-on 12-week training designed to help learners build production-ready AI-powered applications.

This program takes learners from Python fundamentals to advanced Agentic AI systems, covering LLMs, prompt engineering, LangChain, vector databases, full-stack development, cloud deployment, and DevOps practices.

The course is fully project-driven and includes mini projects, a capstone project, mock interviews, and internship assistance. Learners will build real-world AI solutions such as document intelligence systems, AI customer support tools, content generation platforms, and more.

By the end of the program, learners will have a professional AI portfolio, deployment experience on free and cloud platforms, and industry-ready skills to excel in AI-driven roles.

Course Duration

12 Weeks (3 Months)

Course Format

• Online
• Instructor-led
• Hands-on Training
• Project-Based Learning

What Learners Will Gain (Learning Outcomes)

• Strong foundation in Python programming, file handling, and AI libraries
• Deep understanding of LLMs (GPT, Claude, etc.) and prompt engineering
• Experience with LangChain, ChromaDB, FAISS, LlamaIndex, CrewAI
• Ability to build full-stack AI applications using Flask and Streamlit
• Knowledge of RAG (Retrieval Augmented Generation) architectures
• Deployment experience using Docker, free cloud platforms, and AWS
• A professional portfolio with real-world AI projects
• Internship and career readiness support

Course Curriculum / Syllabus

🔹 Phase 1: Python Foundation & AI Concepts (Weeks 1–3)

• Python fundamentals, OOP, data structures
• File handling and data processing
• Introduction to LLMs (GPT, Claude)
• API consumption and OpenAI API integration
• Prompt engineering techniques
• Mini projects:
• Python CLI tools
• LLM chat application
• Prompt engineering lab

🔹 Phase 2: Advanced AI Frameworks (Weeks 4–6)

• LangChain basics, prompts, memory systems
• Vector databases: ChromaDB / FAISS
• Embeddings and semantic search
• RAG architecture
• LlamaIndex and CrewAI (multi-agent systems)
• FastAPI introduction
• Mini projects:
• Conversational AI system
• Vector search engine
• Multi-agent AI system

🔹 Phase 3: API Development & Full-Stack Integration (Weeks 7–9)

• REST APIs and HTTP fundamentals
• Flask API development
• Authentication and API security
• Streamlit frontend development
• Full-stack AI architecture
• Performance optimization
• Git, CI/CD, monitoring
• Mini projects:
• Custom AI API
• Streamlit dashboard
• Full-stack RAG application

🔹 Phase 4: Production Deployment (Weeks 10–12)

• Free deployments (Streamlit Cloud, Render, Railway)
• Docker containerization
• AWS EC2, S3, RDS
• Load balancing and scalability
• DevOps best practices
• Mini projects:
• Free deployment portfolio
• AWS production system
• Professional AI portfolio

Capstone Project Options

• AI Document Analyzer (PDF/Word Q&A system)
• Smart Knowledge Base
• Research Assistant
• AI Customer Support System
• Content Generation Platform
• Sales Intelligence Tool
• Legal Document Processor
• Medical Records Assistant
• Financial Report Analyzer
• Code Review Assistant

Who Should Enroll

• Students and aspiring developers
• Working professionals and engineers
• Entrepreneurs and founders
• Tech enthusiasts and career switchers

Why Enroll (Value Proposition)

• Career-ready AI & full-stack skills
• Real-world, hands-on projects
• Fast-track learning in 12 weeks
• Cutting-edge AI tools and frameworks
• Deployment & DevOps exposure
• Industry-ready portfolio
• Internship assistance

Certification

Course Completion Certificate

Internship & Career Support

• Internship assistance
• Mini projects + capstone project
• Mock interviews
• Portfolio guidance