Tier 2
AI & Robotics Professional
Everything in Launch Pad, plus deep learning, LLMs, and production robotics APIs — with a guaranteed 3-month paid internship.
90 Days · ~60 Hours · Hybrid / Online · Includes 3-Month Paid Internship
Why This Course
Professional builds on the full Launch Pad curriculum and adds the applied math, deep learning, LLM/RAG, and production-API skills that turn a foundation into a job-ready AI & Robotics engineer — closing with a guaranteed 3-month paid internship.
- Includes the complete Tier 1 curriculum, plus 4 advanced modules
- Deep learning foundations through to LLMs, RAG, and agentic planning
- Production APIs, Docker, and gRPC for real robotics deployment
- 100% guaranteed 3-month paid internship on completion
Internship
Every student who completes Tier 2 is guaranteed a paid 3-month internship, matched to their track and built into the program — not left to chance.
Curriculum
Module 1Environment Setup & Core Python Programming
- Linux Terminal Mastery, Git & GitHub Workflows
- Introduction to Python Programming & Control Flow
- Core Python Data Structures & Functions
- Object-Oriented Programming (OOP) in Python
- File I/O, Package Management & Virtual Environments
Module 2Python Web Applications with Gradio
- HTTP Protocols & REST APIs
- Building Web Interfaces with Gradio
- Gradio Session State, Streaming & Live Telemetry
- Database Persistence & Gradio Web App Capstone
Module 3Flutter Cross-Platform Mobile Application Development
- Introduction to Flutter & Dart Basics
- Building Mobile Layouts, UI Components & Navigation
- State Management & Device Feature Access
- Mobile API Integration & Flutter Mobile App Capstone
Module 4Building AI-Native Web Apps & Mobile Apps using Vikky SDK
- Introduction to Vikky SDK & AI-Native Workflows
- Generative AI & Prompt Engineering
- Multi-Modal AI: Vision, Speech & Embeddings via Vikky SDK
- AI-Native Application Capstone
Module 5Computer Vision, Real-Time YOLO & Spatial Geometry (Compressed 3-Day CV)
- Digital Image Processing & Feature Extraction with OpenCV
- Real-Time YOLO Object Detection & Bounding Box Parsing
- Spatial Geometry for Robotics
Module 6ROS 2 Core Architecture & Middleware
- ROS 2 Architecture & CLI
- Writing ROS 2 Publishers (Python)
- Writing ROS 2 Subscribers (Python)
- ROS 2 Services & Custom Interfaces
- ROS 2 Actions & Parameters
Module 7Physical Hardware Kit Interfacing & Digital Twin (Tier 1 Capstone)
- Unboxing Hardware Kit & USB Serial Communication
- Connecting Gradio/Flutter Apps to Hardware
- Hardware-in-the-Loop YOLO Visual Servoing
- URDF Modeling & RViz Digital Twin Synchronization
- Tier 1 Final Capstone Presentation
Module 8Applied Math & Deep Learning Foundations
- Linear Algebra for AI & Tensor Operations
- Multivariable Calculus & Backpropagation Math
- Probability, Statistics & ML Fundamentals
- Neural Network Architectures from Scratch
- Optimization Algorithms & Deep Learning Dynamics
Module 9LLMs, Transformers, RAG & Vector Databases
- Transformer Architectures
- Vector Embeddings & Databases
- Retrieval-Augmented Generation (RAG)
- Fine-Tuning LLMs
- Agentic Task Planning
Module 10Production APIs & Microservices for Robotics
- High-Performance Web APIs (FastAPI)
- Streaming & WebSockets
- Containerization with Docker
- gRPC for Low-Latency Robotics Communication
- Deployment & Profiling
Module 11Spatial Perception, Camera Calibration & Embodied AI Capstone
- Pinhole Camera Models & Intrinsic/Extrinsic Calibration
- 3D Point Clouds & SAM Spatial Perception
- Introduction to Vision-Language-Action (VLA) Models
- System Architecture & Embodied AI MVP Integration
- Tier 2 Capstone Presentation
Who Should Enrol?
- Tier 1 graduates ready to go deeper into AI and production systems
- Engineering / CS students and graduates aiming for a guaranteed internship
- Career switchers who want a structured path to an AI & Robotics role
Prerequisites
Tier 1 curriculum or equivalent foundation; no prior coding experience required if starting fresh.
Tools & Technologies
Python, Git & GitHub, Linux, Gradio, Flutter & Dart, Vikky SDK, OpenCV, real-time YOLO, ROS 2, a physical hardware kit, URDF & RViz. Plus: deep learning foundations, Transformers & vector databases, FastAPI, Docker, gRPC, camera calibration & VLA models.
Career Paths
AI/ML Engineer, Robotics Software Engineer, Applied AI Engineer, Backend/API Engineer for robotics systems.
Frequently Asked Questions
- Do I have to complete Tier 1 first?
- Tier 2 includes the full Tier 1 curriculum, so you can start here — you'll cover everything Tier 1 students do, plus the advanced modules.
- Is the internship really guaranteed?
- Yes — 100%, paid, 3 months, for every student who completes Tier 2.
- What do the advanced modules add?
- Applied math and deep learning foundations, LLMs/RAG/vector databases, production APIs & microservices, and a spatial perception capstone.
- Can I continue to Tier 3 after this?
- Yes — Tier 2 graduates can progress into Tier 3 for the full Career Accelerator and a 6-month internship.