A Deep Dive Into Agentic Systems, Robotics, And AI Design
Master Modern Python programming for AI with static typing, OOP, and asynchronous programming. Enhance efficiency using AI-assisted coding tools. Gain hands-on experience in Python web development with frameworks like Streamlit and version control with GitHub.
Explore Agentic AI and DACA frameworks, building intelligent agents with UV, OpenAI Agents SDK, and protocols like MCP and A2A. Gain hands-on experience in design patterns and memory management.
Advance your Agentic AI expertise with cloud-first DACA development. Master scalable AI architectures using local Kubernetes, Dapr, FastAPI, and managed cloud services. Deploy production-ready AI applications with serverless containers and Model Context Protocols through hands-on projects.
Master planet-scale distributed AI agents using Kubernetes, Dapr Workflows, and A2A protocols. Develop expertise in voice-enabled agents, self-hosted LLMs, and fine-tuning LLMs for global-scale applications.
Explore Physical AI and humanoid robotics, mastering ROS 2, Gazebo, NVIDIA Isaac™, and OpenAI’s GPT models to design and deploy advanced humanoid robots.
Master Ray for distributed AI computing, optimizing scalable machine learning, data processing, and model serving in cloud-based AI pipelines.
Understand AI ethics and governance frameworks, exploring fairness, transparency, accountability, and privacy to lead responsible AI initiatives.
Learn to build and train AI models using PyTorch and Ray, exploring GANs, Transformers, LLMs, autoencoders, and diffusion models with hands-on experience.
Master the fine-tuning and deployment of open-source LLMs like Meta LLaMA 3 using PyTorch, with a focus on cloud-native training, optimization, and inference.
Master Kubernetes, Ray, Terraform, and GitHub Actions to design, deploy, and manage distributed AI systems and cloud-based AI pipelines with scalability and fault tolerance.