>Advanced Diploma in Full-Stack, AI & Data Science Banner Image

Top Data Science ML & AI Training Course offered in Kerala

QIS Academy provides the best Data Science ML & AI course in Kerala, focusing on the practical application of various methodologies and tools. Moreover, we offer lifetime placement assistance, ensuring that you secure rewarding career opportunities upon successful completion of the course.
>Advanced Diploma in Full-Stack, AI & Data Science Wave Image
data science training
>Advanced Diploma in Full-Stack, AI & Data Science BG image
view all
courses
data science course in kerala

Scope of the course

This is a comprehensive data science and AI certification course that covers both foundational and advanced topics. Students will learn how to:

 

  • Work with large datasets
     
  • Apply machine learning techniques
     
  • Visualize and preprocess data
     
  • Use statistical methods
     
  • Understand and apply Gen AI in real scenarios
     

The course is suitable for careers in healthcare, finance, retail, and digital marketing, where data-driven decisions are essential.

If you're looking to master AI and data science, this is one of the best data science courses in Kerala to begin your journey.

data science training

Jobs you can apply for

Certification in AI and ML opens the door to a wide range of career opportunities. After completing the course, you can apply for roles such as: · Data Scientist · Machine Learning Engineer · Data Analyst · AI/ML Researcher · Data Engineer · Big Data Analyst · Reporting Analyst

Comprehensive Curriculum

QIS Academy has endeared itself to global Embedded & Software industry by providing real-time

400 hrs

Learning content

Advanced Diploma in Full-Stack, AI & Data Science Icon Image

9+

Languages & Tools

Download Brochure

Tools Covered

What You Will Learn

PYTHON PROGRAMMING FOR DATA SCIENCE

  • Python variables
  • Collections of variables
  • Looping Statements
  • Conditional Statements
  • Functions
  • OOPs Concepts
  • File handling
  • Debugging
  • Data Structures and Algorithm
  • OS module

RELATIONAL & NOSQL BIG DATABASES

  • Relational Databases
  • NoSQL Databases
  • Querying with SQL & NoSQL

ANALYZING DATA WITH PYTHON

  • Relational Databases & NoSQL
  • Big-Data Databases
  • Statistics & Probability
  • Importing Datasets
  • Cleaning and Preparing the Data
  • Summarizing the Data Frame

VISUALIZING DATA WITH PYTHON

  • Matplotlib
  • Line Plots
  • Basic Visualization Tools
  • Area Plots, Histograms, Bar Charts
  • Specialized Visualization Tools
  • Pie Charts, Box, Scatter & Bubble Plots

TABLEAU

  • Bringing in Data
  • Connecting to Data
  • Visualizing Data
  • Analyzing Data
  • Creating Dashboards
  • Publishing and Sharing
  • Advanced Visual Analytics

MATH & STATISTICS FOR AI

  • Linear Algebra
  • Probability & Statistics
  • Calculus
  • Statistics
  • Geometry & Graph Knowledge

AI AND AI ETHICS

  • What is AI?
  • Types of AI
  • AI Applications
  • AI Ethics

MACHINE LEARNING

  • Supervised Learning
  • Unsupervised Learning
  • Model Evaluation
  • Semi Supervised Learning

DEEP LEARNING

  • Neural Networks
  • Backpropagation Algorithm
  • Deep Learning Frameworks _ TensorFlow and PyTorch
  • Convolutional Neural Networks (CNNs
  • Recurrent Neural Networks (RNNs) and LSTMs
  • Reinforcement Learning

NATURAL LANGUAGE PROCESSING (NLP)

  • Text Preprocessing
  • Text Representation
  • Language Models

COMPUTER VISION (CV)

  • Image Preprocessing
  • Feature Extraction
  • Deep Learning for CV
  • Object Detection
  • Image Classification & Segmentation

FULL STACK DEVELOPMENT

  • Webscraping
  • AI/ML models: PyCaret, FastAI
  • HTML & CSS
  • Streamlit, Flask
  • Deployment_Render, GIT

GENERATIVE AI FUNDAMENTALS

  • Introduction to GenAI
  • Evolution of Generative AI
  • Types of GenAI Models
  • GANs, VAEs, Diffusion Models, Transformers
  • GenAI Models for Different Tasks

LARGE LANGUAGE MODELS (LLMS)

  • Natural Language Generation (NLG)
  • Language Modeling
  • ASM, MLM
  • Introduction to LLMs
  • Types of LLMs
  • Open Source vs Proprietary LLMs
  • LLM Architecture

PROMPT ENGINEERING FOR DEVELOPERS

  • Introduction to Prompt Engineering
  • Types of Prompting
  • Relation Between LLMs and Prompts
  • TRICK Framework for Better Prompts
  • Task, Role, Input, Condition, Knowledge
  • Prompt Engineering Use Cases

RETRIEVAL-AUGMENTED GENERATION (RAG)

  • LLM from Scratch vs Prompt Engineering vs RAG vs Fine-Tuning
  • RAG Architecture
  • Retrieval (R): Text Embedding, Vector DB, Similarity Search, Indexing, Retrieval Strategies
  • Augmentation (A): Re-Ranking & Feedback, Memory Augmentation, Tool Augmentation,
  • Metadata-Aware Retrieval, Multi-Hop Retrieval
  • Generation (G): Pretrained LLMs, Prompt Construction, Token Management,Summarization
  • LLM Pipeline

GENAI INTEGRATION TO SOFTWARE APPLICATIONS WITH OPENAI API

  • Introduction to GenAI and OpenAI API
  • Overview of Generative AI Applications in Software Development
  • OpenAI Models: GPT-4.1, GPT-4o-mini
  • Setting up OpenAI Account & API Keys
  • Understanding Token Usage and Pricing
  • API Structure & Endpoints
  • Handling Responses and Errors
  • Application Integration
  • Integrating OpenAI API into Backend Applications

GITHUB COPILOT FUNDAMENTALS

  • Setting up GitHub Copilot
  • Basic Code Completion & Generation
  • Mastering Prompts for Copilot Inline Suggestions
  • Exploring Key Features

ADVANCED GITHUB COPILOT USAGE & WORKFLOWS

  • Generating Unit Tests Automatically
  • Debugging & Error Resolution with Copilot
  • Refactoring and Code Optimization
  • Deep Dive into Copilot Chat
  • Multi-file Edits & Contextual Awareness
  • Documentation & API Specification Generation
  • Code Conversion & Language Translation
  • Code Review Assistance
  • SQL & Data Interaction
  • CLI Integration & Terminal Assistance
  • Exploring Copilot Extensions & Customization
  • Version Control Integration
  • Best Practices for AI-Assisted Development
  • Personalization & Customization of Copilot
  • Integrating AI Tools into Your Workflow
    •  

R PROGRAMMING

  • R Programming

SCALA & SPARK OVERVIEW

  • Scala & Spark Overview

CAPSTONE PROJECT

  • Capstone Project
OUR STUDENTS SAY’S
Real Stories, Real Growth – What Our Learners Think About Their Time with Us
Adith DA
Adith DA
Software Engineer

I joined Python Full Stack Development at Quest Innovative Solutions, Trivandrum. Recently I got placed as Software Engineering Trainee through Quest placement support. 

Indukala
Indukala
Junior Software Engineer

One of the best software training institute. I joined in Java Full Stack Development and recently got placed as junior software engineer through Quest's placement support

Akshay R K
Akshay R K
Front end Developer

Quest innovative solutions Kannur is an excellent place to learn and develop skills. I have done a course in Python Full Stack Development and got placed in VVDN Kochi