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Our Training Courses

Comprehensive training programs designed to advance your skills in big data, AI, cloud computing, and more.

Agentic AI Development

Multi-Agent Systems & Autonomous AI

For AI Engineers, ML Architects, Senior Developers

Beginner	Intermediate	Advanced
Introduction to Agentic AI→ AI Agent Fundamentals→	Building Multi-Agent Systems→ LangGraph for Agentic Workflows→ CrewAI Agent Orchestration→	Enterprise Agentic AI Architecture→ Autonomous Agent Systems at Scale→ Agentic RAG Patterns→

Non-Technical

For Business Users, Executives, Analysts

Beginner	Intermediate	Advanced
ChatGPT Fundamentals for Professionals→ Generative AI for Business→	ChatGPT for Business Workflows→ AI Automation for Professionals→	Advanced Prompt Engineering & Custom GPTs→ Enterprise GenAI Strategy→

RAG, Deep Learning & Frameworks

For ML Engineers, Data Scientists, AI Practitioners

Beginner	Intermediate	Advanced
Introduction to Retrieval-Augmented Generation (RAG)→ Machine Learning Fundamentals→ Python for Machine Learning→	Building Production-Ready RAG Systems→ Building Smarter AI Applications→ Deep Learning with PyTorch→ Deep Learning with TensorFlow→ Computer Vision with PyTorch→ NLP with Transformers→	Enterprise RAG with Security & Scale→ LLM Fine-Tuning & Optimization→ Advanced Deep Learning Architectures→ Distributed Training at Scale→

AI-Assisted Development

For Software Developers, Engineers

Beginner	Intermediate	Advanced
Coding with AI Assistants→ GitHub Copilot Fundamentals→	AI-Driven Application Development→ AI-Powered Testing & Debugging→	Agent-Based & Autonomous Coding Systems→ AI Code Generation Patterns→

Governance & Compliance

For Security Engineers, Compliance Officers

Beginner	Intermediate	Advanced
Data & Privacy Fundamentals for AI→ AI Ethics Basics→	Securing AI Pipelines→ AI Model Security→	Enterprise AI Governance & Compliance→ Federated Learning & Privacy-Preserving ML→

AWS, Azure, GCP Infrastructure

For Cloud Engineers, DevOps

Beginner	Intermediate	Advanced
Cloud Fundamentals for AI→ AWS Basics for ML→ Azure Basics for ML→ GCP Basics for ML→	Cloud Infrastructure for AI Workloads→ AWS SageMaker for ML→ Azure Machine Learning→ GCP Vertex AI→	Scalable AI Platforms on Cloud→ Multi-Cloud ML Architecture→ Serverless ML Deployment→

Production AI Operations

For DevOps Engineers, Platform Teams

Beginner	Intermediate	Advanced
DevOps Fundamentals for AI Systems→ Docker & Kubernetes Basics→	MLOps for Production AI→ ML Model Deployment→ Monitoring ML Systems→	Enterprise CI/CD & MLOps at Scale→ Kubeflow & MLflow in Production→ Feature Stores & Model Registries→

Spark, Hadoop, Streaming

For Data Engineers, Platform Engineers

Beginner	Intermediate	Advanced
Big Data Foundations→ Hadoop Fundamentals→ SQL for Big Data→	Distributed Data Processing with Spark→ Apache Spark Advanced→ Data Lakes Architecture→	Real-Time & Streaming Data Systems→ Kafka & Flink for Streaming→ Delta Lake & Lakehouse Architecture→

Platform-Specific AI Services

For Cloud ML Engineers, Data Scientists

Beginner	Intermediate	Advanced
AI & ML on Cloud – Foundations→ AWS AI Services Introduction→ Azure Cognitive Services→ GCP AI APIs→	Managed ML Pipelines on Cloud→ AWS Bedrock & SageMaker→ Azure OpenAI Service→ GCP Vertex AI Pipelines→	Large-Scale Model Deployment on Cloud→ Cost Optimization for ML on Cloud→ Hybrid Cloud ML Architecture→