Learn from an industry expert with 11+ years of experience in Generative AI, Agentic AI, and real-world AI system development, bringing practical industry knowledge and hands-on expertise into the classroom.
Expertise in building and deploying Generative AI solutions using LLMs, from prompt engineering to production-ready AI systems.
Learn to design intelligent agents with planning, tool use, memory, orchestration, human-in-the-loop workflows, and multi-agent systems.
Gain practical exposure to Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Container Apps, Key Vault, and production deployment.
Build practical AI systems through hands-on labs and projects, progressing from Python and ML foundations to RAG, Agentic AI, orchestration, and a deployed capstone.
Build production-ready AI skills through an intensive, hands-on program covering Python, Machine Learning, Generative AI, RAG, Agentic AI, multi-agent systems, Azure, and production deployment.
Learn by building production-ready AI systems with hands-on labs covering development, evaluation, safety, deployment, observability, cost awareness, and real-world engineering practices.
Our structured 10-week intensive program takes you from Python and Machine Learning foundations to Generative AI, RAG, Agentic AI, multi-agent systems, and production deployment on Azure. Build real AI systems through hands-on labs, practical projects, and a production-focused learning approach.
Python environment setup with VS Code & Jupyter
Git workflows & structured repository layout
Code quality with Black, Ruff & Mypy
Testing with Pytest, coverage & CI pipelines
Async programming, generators, closures & type hints
Pydantic, dataclasses & structured logging for AI systems
LLM Fundamentals
Attention mechanisms & context windows
Tokenization & Embeddings
Prompt Engineering
System prompts & few-shot examples
Prompt Evaluation & curated test datasets
Azure AI Content Safety
Structured Outputs & JSON Mode
Streaming Responses
Token Budgeting & Caching Strategies
Model Tier Selection & Cost Optimization
Output Validation & Function Calling
AutoGen Flows
Multi-Agent Message Passing
Role Separation & Turn-Taking Control
Human-in-the-Loop Approval Gates
Azure Prompt Flow Orchestration
Trace & Replay for Debugging and Audit
ML workflows with pandas & scikit-learn
Regression & classification pipelines
Model metrics & cross-validation
MLflow experiment tracking with metrics & artifacts
PyTorch fundamentals, autograd & multilayer perceptrons
Reproducible ML packaging & model evaluation
Azure AI Foundry project setup
Azure OpenAI deployment configuration
Chunking strategies & metadata design
Embeddings & Azure AI Search indexing
Blob ingestion & vector search pipeline
End-to-end RAG API with FastAPI & latency benchmarking
Agent Planning & Task Decomposition
Tool Use & Schema Validation
LangChain Agents & Agent Executor
Short-Term Context & Long-Term Memory
Error Handling & Result Reflection
Research Assistant Agent Lab
FastAPI Containerization with Docker
Azure Container Apps & Auto-Scaling
Managed Identity for Secure Deployment
Azure Key Vault for Credential Management
Production RAG or Agentic AI System
Capstone Architecture & CI/CD Deliverables
Every learner who successfully completes the training program at AimNxt receives an official Course Completion Certificate. Our certificate validates your practical skills, hands-on project experience, and industry-ready knowledge, making your resume stand out during interviews.
Complete our Generative AI & Agentic AI Course and become industry-ready for the fastest-growing AI careers. Master Python, Prompt Engineering, Azure OpenAI, Azure AI Foundry, LangChain, LlamaIndex, AutoGen, Retrieval-Augmented Generation (RAG), Fine-Tuning, FastAPI, Docker, MLOps and Production AI deployment through hands-on enterprise projects.
Find answers to common questions about our Generative AI & Agentic AI training program, certification, and career opportunities.
Build industry-ready skills with practical, job-oriented training programs in Networking, Cyber Security, Generative AI, Full Stack Development (Java & Python). Gain hands-on experience, work on real-world projects, master in-demand technologies, and prepare yourself for successful career opportunities in the IT industry.
