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Full Stack Gen AI Professional Program

Learn AI from the ground up — from ML to advanced LLMs and Agentic AI.

About the Program

This program is designed to take you from fundamentals to building AI-powered products. Learn how to train models, design intelligent agents, and deploy them on the cloud — while gaining hands-on experience on real projects guided by mentors.

Training and Mentorship

Our team specializes in providing tailored AI strategies to meet your business needs.

Freelance and Consultancy Support

We offer continuous support throughout the AI implementation process for seamless integration.

What You’ll Learn?

At DrippinAI Labs, our commitment for this course takes you from absolute beginner to AI professional by combining live learning, real industry projects, and freelance mentorship.
Build your own AI products, work with mentors who’ve built real-world solutions, and gain hands-on job experience that prepares you for global AI careers.

Python & Developer Foundations
  • Python programming from scratch — no prior experience needed
  • Object-oriented programming — write code the way professionals do
  • Git & GitHub — save, manage, and showcase your work
  • Docker — run any application anywhere without setup issues
  • FastAPI — build powerful APIs that connect AI to the real world
  • PostgreSQL & MongoDB — store and manage data for AI applications
  • Streamlit — turn any AI project into a shareable web application
  • How AI and LLMs actually work — explained simply, no maths
  • OpenAI GPT-4o & Groq API — build real AI applications
  • Run AI models locally for free — Llama 3, Mistral, Deepseek with Ollama
  • Prompt Engineering — get exactly the output you want from any AI model
  • Function Calling & Structured Outputs — how production AI apps are built
  • Hugging Face — access and use thousands of pre-trained AI models
  • Fine-Tune your own AI model — train AI on your own custom data using LoRA
  • Semantic Search & Recommendation Systems — using embeddings
  • Vector Databases — ChromaDB, Qdrant, and Pinecone
  • RAG — build AI that reads and answers from any document or website
  • LLM Observability — monitor, trace, and debug your AI applications
  • Build AI Agents from scratch — AI that thinks and acts on its own
  • LangChain — connect AI to real tools like search, calculators, and files
  • LangGraph — build complex AI workflows with full control and memory
  • Multi-Agent Systems — teams of AI working together to complete tasks
  • CrewAI & AutoGen — autonomous AI that writes, tests, and fixes its own code
  • Long-term Memory for AI — AI that remembers users across conversations
  • Agent Evaluation — test and measure how well your AI agents perform
  • n8n Automation — automate business workflows without writing code
  • WhatsApp & Telegram AI Bots — deploy AI chatbots to messaging platforms
  • Model Context Protocol (MCP) — connect AI to any tool or database
  • Speech-to-Text with Whisper — turn voice into text in real time
  • Text-to-Speech — make AI speak naturally using free tools
  • Full Voice AI Pipeline — speak to AI, get a spoken answer in under 3 seconds
  • Multi-Modal AI — AI that reads images, invoices, and scanned documents
  • MLflow & DVC — track experiments and version your AI models
  • CI/CD with GitHub Actions — automate testing and deployment
  • Docker in Production — package and ship AI applications professionally
  • Cloud Deployment — AWS, Render, and Hugging Face Spaces
  • Apache Airflow — schedule and automate data pipelines for AI
  • Grafana — monitor your AI system in real time
  • Kubernetes — scale and manage AI applications in production
  • Build a complete, production-ready AI system from scratch
  • Build a GitHub portfolio that gets you hired
  • Set up a winning profile on Upwork and Fiverr
  • Write proposals that clients actually respond to
  • Price your AI services — hourly, fixed price, and retainer models
  • Choose your niche — which AI services to offer and to which industries
  • Manage clients professionally — scoping, contracts, revisions, delivery
  • Build a personal brand on LinkedIn that attracts inbound clients
  • Resume and interview preparation for AI engineering roles
  • Build one complete, real-world AI system of your choice
  • Present your project to a panel with full feedback
  • Leave with a deployed, working AI product in your portfolio
  • Work on real projects under professional supervision
  • Experience the full cycle of receiving a brief, building, and delivering
  • Get feedback on real work — not just exercises
  • Build the confidence to work with real clients and companies from Day 1

Certificate Of Completion

Every student who completes the programme receives an official DrippinAI Labs Certificate of Completion — recognised by our hiring partners and verifiable online. Your certificate includes your name, programme details, completion date.