GALTECH

AI Engineering Course in Kerala – Taught in Malayalam

GALTech School of Technology Private Limited > Courses

AI Engineering Course

GALTech’s AI Engineering Course in Kerala is a 6-month training program designed for students, graduates and working professionals who want to develop practical skills in artificial intelligence. No prior experience in AI or programming is required. Learn Python programming, data analysis, machine learning, deep learning, natural language processing (NLP) and large language models (LLMs) through structured lessons and hands-on projects. The course also covers AI application development using tools and frameworks such as Django, Streamlit, Hugging Face and OpenAI APIs. Classes are conducted live in Malayalam, with online and offline learning options at our Koratty, Thrissur training centre.

Why Learn AI Engineering?

AI engineering teaches you to build, train and deploy the intelligent systems that businesses now rely on to analyse data, automate processes and develop software. Our AI Engineering training goes beyond theoretical concepts, covering the complete process of building AI solutions, from Python programming and data handling to training machine learning models and developing AI-powered applications, supported by weekly projects, an internship program and placement assistance.

Tools and Technologies You Will Learn

  • Programming and Environment: Python, Jupyter Notebook, Google Colab
  • Data Analysis and Visualisation: NumPy, Pandas, Matplotlib, Seaborn
  • Machine Learning: Scikit-learn
  • Deep Learning: TensorFlow, Keras, PyTorch
  • NLP and LLMs: NLTK, spaCy, Hugging Face, Transformers, BERT, GPT-2
  • AI Application Development: Django, Django REST Framework, Streamlit, OpenAI API

What Will You Learn in Our AI Engineering Course?

  • Python Programming: Learn Python fundamentals, object-oriented programming, data structures and libraries used in AI development.
  • Data Analysis and Machine Learning: Work with NumPy, Pandas, Matplotlib, Seaborn and Scikit-learn to analyse datasets and understand regression, classification, clustering and model evaluation.
  • Deep Learning: Explore neural networks, CNNs, TensorFlow, Keras and PyTorch to develop deep learning models.
  • NLP and Generative AI: Learn text processing, tokenisation, sentiment analysis, transformers, BERT, GPT-based technologies and large language models using Hugging Face and OpenAI APIs.
  • AI Application Development: Build and deploy AI-powered applications using Django, Django REST Framework and Streamlit through practical projects.

Enrolling in an AI Engineering Course in Kerala can help you build the technical knowledge and practical skills needed to explore opportunities in artificial intelligence, machine learning and AI application development.

Course Highlights

  • Classes from Industry Experts
  • Project-based
  • Job-focused
  • Placement Assistance
  • Internship Programs
  • HD Video Recordings
  • Weekly Projects & Assignments
  • Industry-specific Curriculum
  • Peer-to-peer
  • Live classes
  • Certification
  • Affordable Fees

Course Curriculum

Week 01

Python Basics & Data Structures

  • Python interpreter and environment
  • Installation and setup
  • Installation of Anaconda and Jupyter Notebook - How it works
  • Introduction to Google Colab
  • Basics of Python
  • Data structures
  • File input and output operations
  • Modules and packages
  • Control flow and decision making

Who Should Enroll?

Graduates

Students who have completed their science degree (BSc, MSc, etc.) and want to build expertise in AI.

Professional Graduates

Those with degrees like BTech, BE, MTech, MCA, or a Diploma in CS/IT who want to enter the AI domain.

Working Professionals

Software engineers, data analysts, and IT professionals looking to switch careers or enhance their AI skill sets.

Students in the UAE and GCC

Join the live online batches timed for Gulf evenings.

Frequently Asked Questions

An AI Engineering course teaches you to build, train and deploy AI-powered applications using Python, machine learning, deep learning, natural language processing (NLP) and large language models (LLMs).

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