Courses built around what Mohali employers hire for

Python, machine learning, deep learning and NLP together — the complete AI foundation, not one narrow slice.

• Write Python and prepare real, messy data with NumPy and Pandas before any model is trained
• Train and evaluate machine learning models in Scikit-learn — regression, classification and clustering
• Build neural networks and CNNs in TensorFlow and Keras, and run basic NLP on real text

A 9-month, job-oriented Artificial Intelligence Diploma — Python, machine learning, deep learning, NLP, computer vision and Generative AI fundamentals, from basics to application development.

• Write Python and prepare real datasets with NumPy and Pandas before training a model
• Train and evaluate machine learning models in Scikit-learn — regression, classification and clustering
• Build a basic neural network and run fundamental NLP and computer vision tasks

LLMs, prompt engineering, RAG pipelines and agentic workflows — build products on top of modern models.

• Ship a production RAG assistant over your own documents
• Design and evaluate agentic workflows
• Control model cost, latency and hallucination

Agents that plan, call real tools and finish the job — Python, LangGraph, MCP and production deployment.

• Ship a containerised FastAPI service and a document-extraction engine
• Publish an MCP server and build a cited RAG compliance copilot
• Build a human-in-the-loop approval agent with LangGraph

A 9-month, job-oriented Agentic AI Diploma — Generative AI and LLM fundamentals through to AI agents, RAG, tool calling and multi-agent systems.

• Write effective prompts and explain how LLMs generate and structure output
• Build an AI agent that calls tools, APIs and external services to complete multi-step tasks
• Implement a basic RAG pipeline using embeddings and a vector database

ChatGPT, Claude, Gemini and Midjourney — prompting frameworks, AI workflows and a portfolio of real projects.

• Write effective, structured prompts using zero-shot, few-shot, chain-of-thought and role-based frameworks
• Direct ChatGPT, Claude and Gemini through multi-turn conversations for writing, research, coding help and business tasks
• Generate and refine visual output in Midjourney using style parameters, aspect ratios and reference imaging

Python, statistics, machine learning, SQL and visualization with Tableau and Power BI — the full analytics stack, end to end.

• Work the full analytics pipeline — Python and Pandas through statistics, machine learning, SQL and visualization
• Implement regression, classification and clustering on real datasets, then evaluate and improve the models
• Query business databases in SQL and communicate the findings in Tableau and Power BI dashboards

Excel, SQL, Power BI, Tableau and Python — the full analytics toolkit, from raw spreadsheets to decision-ready dashboards.

• Move data end to end — clean it in Excel, query it in SQL, visualize it in Power BI and Tableau
• Analyse and automate with Python using Pandas, NumPy and Matplotlib
• Interpret results correctly with practical statistics, not just chart them

Power Query, data modelling, DAX and interactive dashboards — business intelligence logic, not just button-pushing.

• Connect, clean and model data from Excel, SQL and cloud sources into a reliable data model
• Write DAX measures and calculated columns that answer real business questions
• Design interactive dashboards people can actually read and act on

Data connections, Tableau Prep, calculated fields, interactive dashboards and data storytelling that drives decisions.

• Connect Tableau to Excel, databases and cloud sources, then clean and shape the data for analysis
• Choose and build the visualization that actually communicates a given business insight
• Design interactive dashboards with filters, parameters and drill-downs end users can explore

Python from scratch through NumPy, Pandas, Scikit-learn and the core supervised and unsupervised algorithms.

• Write Python confidently and prepare messy, real-world data with NumPy and Pandas
• Train supervised and unsupervised models — regression, trees, forests and K-Means clustering
• Evaluate and improve a model with accuracy, precision, recall, cross-validation and tuning

Neural networks, CNNs, RNNs, computer vision and NLP — built and trained in TensorFlow and Keras.

• Explain and build a neural network from neurons and activation functions up, not just call a library
• Train CNNs for image classification and RNNs for text and sequence data in TensorFlow and Keras
• Diagnose overfitting and tune a model with dropout, regularization and transfer learning

Executive AI training in Mohali for managers, founders, and team leads — generative AI workflows, automated decision making, LLM product management, AI governance, and high-ROI workplace tools without requiring deep coding.

• Formulate and execute a coherent organizational AI strategy with measurable ROI
• Automate 30–50% of routine executive, reporting, and operational team tasks
• Direct technical engineering teams and AI vendors with clear specification briefs