Data Analytics with AI
Master Excel, SQL, and Power BI with AI-driven automation to transform raw data into business decisions.
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Live, instructor-led courses in Generative AI, Machine Learning, MLOps and Data Science. Learn by building real projects, guided by practitioners who work in the field every day.
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Master Excel, SQL, and Power BI with AI-driven automation to transform raw data into business decisions.
Become a full-stack data scientist with Python, machine learning, deep learning, LLMs and RAG for real-world AI systems.
Build AI-powered applications — RAG chatbots, knowledge agents and automated workflows using modern LLM SDKs.
Master Generative AI end-to-end — multimodal AI, RAG, LLM fine-tuning, quantization and agentic deployment.
Deploy and scale ML workflows with versioning, CI/CD, model serving, monitoring and evaluation pipelines.
Full GenAI lifecycle — prompt operations, RAGOps, agentOps, observability, governance and cost optimization.
Unified machine learning, deep learning and Generative AI operations — deployment, scaling, governance and automation at enterprise level.
Career starter AI course — build LLM apps, RAG and agents, then prepare for interviews with a structured Placement Prep Kit.
Build autonomous AI agents that plan, reason and execute tasks using external tools and APIs.
Strengthen core LLM engineering — embeddings, evaluation, scalable inference and knowledge workflows.
Enter the machine learning world — Python, feature engineering, supervised and unsupervised modeling applied to real use cases.
Apply deep neural networks to language and vision applications with modern deep learning architectures.
Complete career track — analytics, machine learning, cloud, deployment and monitoring to deliver end-to-end AI.
Hands-on machine learning — evaluation, tuning, interpretability and performance optimization for real deployments.
Convolutional, recurrent and transformer architectures, plus generative models, to master deep learning foundations.
Detection, segmentation and visual analytics with deployment optimized for real-time environments.
Build language AI — embeddings, transformers, information extraction and conversational systems.
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