From Zero to Job-Ready: Master Data & AI with Real Projects, Mentorship, and Career-Focused Learning Paths.
Learning Paths
Intermediate
Level • aiml
Prompt Engineering & Generative AI Tools for Smart Automation
This course dives deep into prompt patterns, context strategies, persona design, and instruction-based prompting with tools like ChatGPT, Claude, Gemini, and Copilot
You’ll also explore how to connect these models with real-world workflows using Zapier, Make
Chain-of-thought reasoning, few-shot vs zero-shot learning
Advanced patterns: ReAct, Tree of Thought, Self-Ask
Persona crafting, instruction tuning & context optimization
Using ChatGPT, Gemini, Claude, Copilot (w/ comparisons)
No-code GenAI tools: Zapier AI, Make
com, Notion AI
Prompt chaining via LangChain & AutoGPT (intro)
Deploying workflows with Google Sheets, Slack, APIs
Business use cases: lead gen, AI writing, chatbots, automation
40₹4999
Advanced
Level • aiml
Deep Learning Mastery: Build Neural Networks That Learn
This course doesn’t just teach theory — it gives you a practical deep dive into modern deep learning architectures including CNNs, RNNs, LSTMs, Autoencoders, and even Transformers-- You’ll work with TensorFlow & PyTorch, handle large datasets, and master GPU training workflows and model interpretability
Deep Learning fundamentals: neurons, activations, cost functions
Forward and backpropagation explained intuitively
Model training, hyperparameter tuning, overfitting control
Convolutional Neural Networks (CNNs) for image processing
Recurrent Neural Networks (RNNs) & LSTMs for time series and NLP
Autoencoders for dimensionality reduction and anomaly detection
Transformers basics + Hugging Face intro
Model evaluation, visualization, and deployment
Hands-on with TensorFlow, Keras & PyTorch
90₹10999
Advanced
Level • aiml
LLM Engineering Bootcamp: Build Intelligent Apps with GPT & LangChain
This is not just another ChatGPT course-- You'll learn to build production-ready tools using frameworks like LangChain, LlamaIndex, and Vector Databases, You’ll create intelligent assistants, search systems, chatbots, and document QA bots — all while gaining practical experience with APIs, Python, and cloud deployment
How LLMs work: tokenization, embeddings, and architecture basics
Prompt engineering best practices (zero-shot, few-shot, chain-of-thought)
Working with OpenAI, Cohere, and Gemini APIs
Building intelligent agents using LangChain
Document-based Q&A using LlamaIndex
Storing and retrieving knowledge with Pinecone/ChromaDB
LLM app deployment using Flask + Render or Streamlit
Create and host your own AI assistant with memory and tools
120₹13999
Advanced
Level • datascience
Data Analytics Bootcamp: Analyze, Visualize, Automate
You’ll start with Excel, level up with Power BI for storytelling, and master Python and SQL for analysis and automation, Every phase includes capstone projects tied to real domains — marketing, finance, HR, supply chain — to build a portfolio that gets noticed
Power BI: Data modeling, DAX formulas, dynamic visuals
SQL: Joins, subqueries, aggregations, real-world business queries
Python: Data wrangling, EDA, Matplotlib, Seaborn, automation
Tableau: Data modelling
AWS: S3 storage, design serverless architectures
Business Case Studies: Solve real problems in retail, banking & healthcare
Capstone Project: End-to-end business intelligence dashboard
120₹9999
Advanced
Level • aiml
Machine Learning Pro: Real-World Modeling with Python
Starting from the fundamentals of supervised and unsupervised learning, you’ll progressively dive into advanced topics like model evaluation, feature engineering, hyperparameter tuning, ensemble techniques, and deployment using Flask and Streamlit
Machine Learning fundamentals with Python & scikit-learn
Real-life business datasets: preprocessing to prediction
This immersive course takes you from the core fundamentals of Artificial Intelligence to advanced applications, including machine learning, deep learning, and LLM-powered systems
🔰 Phase 1: Foundations of Artificial Intelligence
📊 Phase 2: Machine Learning Basics for AI
🧠 Phase 3: Neural Networks & Deep Learning
💬 Phase 4: Natural Language Processing (NLP) & LLMs
🧑⚖️ Phase 5: AI Ethics & Responsible AI
🚀 Phase 6: Capstone Project & Deployment
120₹13999
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