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AI Skills Lab | AI & Generative AI Courses with Placement Assistance
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Best Seller Program

AI & Machine Learning

Master Python for AI, Machine Learning & Deep Learning, Generative AI & LLMs, RAG & AI Agents, MLOps with Docker & MLflow, and Deployment on Azure AI Cloud

Live Online

Interactive Classes

4 Months

Program Duration

Career Support

Placement Oriented

Beginner Friendly

Open For All Graduates

Meet Our Placed Learners
From Learning to Landing Jobs

Mayank Singhal

★★★★★

"The program gave me real hands-on skills in Azure, Terraform and Kubernetes. I gained confidence provisioning cloud infrastructure and automating deployments. Today I work as a DevOps Engineer managing production infrastructure with full confidence."

Works in

Neeraj

★★★★★

"The Databricks and PySpark modules were outstanding. I learned building ETL pipelines, transforming large datasets and managing Delta Lake tables. Mentors helped me transition from a non-technical background into a Data Engineer role."

Works in

Rajendra Mishra

★★★★★

"Joining AI Skills Lab for Azure DevOps & Data Engineering was the best decision of my career. Coming from a non-cloud background, the structured labs on ADF and CI/CD made everything practical. I'm now working as a Cloud Data Engineer at Deloitte."

Works in

Vineeta Sharma

★★★★★

"Enrolling in AI Skills Lab for Azure DevOps & Data Engineering completely transformed my career path. I started with basic SQL knowledge but the course structure made everything easy. Today I'm successfully working as an Azure DevOps Engineer."

Works in

Ankit Agarwal

★★★★★

"The Jenkins and Azure Pipelines modules were game changers. I learned CI/CD automation, secrets management and pipeline monitoring. Today I work as a Site Reliability Engineer and feel completely industry-ready."

Works in

Saanvi Shergill

★★★★★

"Thanks to AI Skills Lab, I now work as a Cloud Data Associate. The hands-on labs with Terraform, Docker and Databricks gave me actual industry-level experience. Highly recommended for anyone wanting a cloud & data career."

Works in

Janvi Sharma

★★★★★

"I started as a fresher with no cloud background. The program covered everything from Azure fundamentals to real-time streaming with Event Hubs. Today I work as a Junior Data Engineer handling production pipelines. Thankyou so much AISkillslab."

Works in

Harsh Kumar

★★★★★

"SQL and Azure Data Factory modules were extremely practical. I learned building automated ETL pipelines and data lake architecture through hands-on labs. Today I confidently work as a Data Engineer."

Works in

Harshit Mishra

★★★★★

"The CI/CD and Jenkins module was outstanding. Learning pipeline automation and deployment strategies helped me land my job. AI Skills Lab's placement support made the entire job search process smooth."

Works in

Khushi Juneja

★★★★★

"I began as a fresher with interest in cloud computing but little practical exposure. The program gave me real Azure, Terraform and Kubernetes skills. Today I confidently work as a Cloud Associate."

Works in

What Makes This Program Special

Python & Machine Learning Mastery

Master Python, NumPy, Pandas and Scikit-learn used by real data science and ML engineering teams.

Deep Learning & Generative AI

Build neural networks with PyTorch and applied GenAI systems using LLMs, RAG and AI Agents.

1-on-1 Mentorship

Get personalized guidance from experienced AI, ML and data science industry professionals.

100% Job Placement Program

Structured placement support with resume building and interview preparation.

40 LPA

Highest Package

100%

Average Salary Hike

500+

Hiring Companies

AI & Machine Learning Engineering Program Curriculum

  • Module 1Python for AI/ML
  • Module 2Data Analysis & ML Foundations
  • Module 3Advanced ML & Feature Engineering
  • Module 4Deep Learning & Neural Networks
  • Module 5Generative AI, LLMs & Prompting
  • Module 6RAG & AI Agents
  • Module 7ML Deployment & MLOps
  • Module 8AI Engineering & Capstone

Module 1 – Python for AI/ML & Programming Foundations

What You'll Learn
  • Python Fundamentals & Data Types
  • Operators, Strings & Collections
  • Loops, Functions & Lambda
  • List Comprehensions
  • Exception & File Handling
  • NumPy & Pandas for Data
  • DataFrames & Reading CSV/Excel/JSON
  • Data Cleaning, Filtering & Grouping
  • Matplotlib & Seaborn Visualization
  • Basic Statistics & Probability
Industry Project: Raw Dataset — Import → Clean → Analyze → Visualize → Report

Module 2 – Data Analysis & Machine Learning Foundations

What You'll Learn
  • Data Preparation & Feature Scaling
  • Missing Values, Duplicates & Outliers
  • Encoding & Feature Engineering
  • Train/Test Split
  • ML Workflow (Data → Model → Deployment)
  • Linear & Polynomial Regression
  • Logistic Regression, KNN & Decision Tree
  • Random Forest & Naive Bayes
  • Evaluation: MAE, RMSE, R², Precision, Recall, F1
  • Scikit-learn Hands-on Labs
Industry Project: First Machine Learning Models — Regression & Classification

Module 3 – Advanced Machine Learning & Feature Engineering

What You'll Learn
  • Random Forest & Gradient Boosting
  • XGBoost & LightGBM
  • K-Means & Hierarchical Clustering
  • DBSCAN Introduction
  • Feature Selection & Extraction
  • Handling Imbalanced Data
  • Hyperparameter Tuning (Grid/Random Search)
  • Cross Validation & Pipelines
  • Ensemble Learning
  • Model Interpretability with SHAP
Industry Project: Compare 5+ ML Models on a Business Dataset & Select the Best

Module 4 – Deep Learning & Neural Networks

What You'll Learn
  • Neural Network Fundamentals
  • Forward & Backpropagation
  • Loss Functions, Optimizers & Epochs
  • ANN, CNN & RNN/LSTM Basics
  • Transfer Learning
  • Image Preprocessing & Augmentation
  • CNN Architecture & Image Classification
  • NLP Fundamentals & Tokenization
  • TF-IDF & Word Embeddings — Intro
  • PyTorch Hands-on Labs
Industry Project: Image Classification Model using CNN + Transfer Learning

Module 5 – Generative AI, LLMs & Prompt Engineering

What You'll Learn
  • Generative AI Fundamentals
  • LLMs & Foundation Models
  • Transformers, Attention & Self-Attention
  • Tokens, Embeddings & Context Window
  • Hugging Face Ecosystem
  • Zero-shot, Few-shot & Role Prompting
  • Chain-of-Thought & Prompt Templates
  • OpenAI API & Azure OpenAI Exposure
  • Text Embeddings & Semantic Similarity
  • Vector Databases: FAISS, Chroma, Pinecone
Industry Project: Prompt Engineering & LLM API Integration

Module 6 – RAG, AI Agents & Applied Generative AI

What You'll Learn
  • Retrieval-Augmented Generation (RAG)
  • Document Loading & Chunking
  • Embeddings & Vector Search
  • LangChain: Chains, Retrievers & Tools
  • Prompt Templates & Context Management
  • AI Agents & Tool Calling
  • Agent Workflow & Basic Memory
  • Multi-step Task Automation
  • Building PDF Chatbots & Website Q&A
  • Internal Knowledge Assistants
Industry Project: Enterprise RAG Knowledge Assistant

Module 7 – ML Deployment, APIs & MLOps

What You'll Learn
  • Model Saving, Loading & Inference
  • FastAPI & REST APIs (GET/POST, JSON)
  • Streamlit Applications
  • Docker Containers & Dockerfile
  • Environment Variables & Docker Compose
  • MLOps Fundamentals & ML Lifecycle
  • Model & Data Versioning
  • MLflow: Experiment Tracking & Registry
  • Model Monitoring & Drift — Intro
  • Git & GitHub Workflow
Industry Project: End-to-End ML Model Deployment with FastAPI + Docker

Module 8 – AI Engineering, Cloud & Industry Capstone

What You'll Learn
  • AI Application Architecture
  • Model, API & Vector Database Layers
  • Azure Machine Learning & Azure OpenAI
  • Azure AI Search & Blob Storage
  • AI Security & PII Awareness
  • Responsible AI: Bias, Fairness & Explainability
  • Hallucinations & Human Oversight
  • Production AI: Latency, Cost & Scalability
  • Caching, Rate Limiting & Monitoring
  • Final Capstone Build & Presentation
Capstone: AI Customer Support Agent — RAG + AI Agents + Deployment Platform

Industry Tools You'll Master

Python
NumPy
Pandas
Scikit-learn
PyTorch
OpenCV
Hugging Face
LangChain
FastAPI
Streamlit
Docker
MLflow
Git
GitHub
Azure AI
VS Code
Python
NumPy
Pandas
Scikit-learn
PyTorch
OpenCV
Hugging Face
LangChain
FastAPI
Streamlit
Docker
MLflow
Git
GitHub
Azure AI
VS Code

Work on real industry AI & ML projects
build practical Machine Learning & Generative AI skills

#1

Customer Churn Prediction System

Build an ML system for Telecom/SaaS/Banking that predicts customers likely to leave, complete with model comparison, a prediction API and a risk dashboard.

Scikit-learnXGBoostSHAP
#2

Sales Forecasting & Business Intelligence

Forecast future retail/e-commerce sales with time-series concepts and visualize historical trends, regional and product-level performance on a dashboard.

PandasScikit-learnStreamlit
#3

Computer Vision Quality Inspection

Build a manufacturing AI system that classifies product images as PASS or DEFECT using CNN and Transfer Learning, served through a FastAPI + Streamlit app.

PyTorchOpenCVCNN
#4

Enterprise RAG Knowledge Assistant

Build a document-grounded AI assistant that indexes company PDFs, SOPs and policies for semantic search, question answering and source-referenced responses.

LangChainFAISS/ChromaLLM API
#5

AI Customer Support Agent — Final Capstone

Build a full AI support agent combining RAG, tool calling and business APIs, with ticket creation, escalation, logging and monitoring — built, deployed and documented.

RAGAI AgentsFastAPI + Docker

Get Certified

Industry Recognized Certification

Earn an AI Skills Lab AI & Machine Learning Engineering certification backed by hands-on ML, Deep Learning and Generative AI projects, recognized by industry standards.

  • Hands-on ML, Deep Learning & GenAI Projects
  • LinkedIn Profile Optimization
  • Resume Creation as per Market Demand
  • Interview Referrals from Partner Companies

Get placed at

+500 more

Our Proven 3-Step Path
to Your AI & Machine Learning Career

Career Profile Building

  • ATS-friendly resume for AI/ML & Data Science roles
  • Optimized LinkedIn profile for recruiter visibility
  • GitHub portfolio with real ML & GenAI projects

Mentor-Driven Referrals

  • Direct referrals through mentor & alumni network
  • Access to hidden AI/ML job openings
  • Guidance from experienced industry professionals

Company Hiring Tie-Ups

  • Connections with 500+ hiring companies
  • Real interview opportunities shared with learners
  • Mock technical interviews & HR preparation

Media Coverage

AI Skills Lab In Spotlight

As Artificial Intelligence (AI) continues to reshape industries worldwide, the demand for highly skilled professionals has grown exponentially. AI Skills Lab, established in 2023, was founded with the mission of equipping Indian students and professionals with industry-relevant AI skills that lead to real career opportunities.

AI Skills Lab Preparing India's Workforce

In a rapidly evolving digital economy, traditional education often struggles to keep pace with technological advancement. AI Skills Lab bridges this gap through structured, application-focused training programs designed for modern AI-powered workplaces.

Frequently Asked Questions

  • General Questions
  • Program & Curriculum
  • Career Support
  • Fees & Payments
What is the AI Skills Lab AI & Machine Learning Engineering Program?
It is a 4-month (8-module) job-focused training program covering Python, Machine Learning, Deep Learning, Generative AI, LLMs, RAG, AI Agents, MLOps and 5 real industry projects designed to make you job-ready.
Who is this program for?
This program is ideal for students, working professionals, IT graduates and career switchers who want to enter machine learning, data science or AI engineering roles — no prior coding or ML experience required.
AI Skills Lab

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Build an AI-first career with AI Skills Lab mentorship, real-world ML & GenAI labs and career pathways into top companies.

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100% Job Placement Program

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🔥 Limited seats for upcoming batch
100%Salary Hike
500+Hiring Partners
5000+Students Trained