6-month AI/ML training program

Join our 6-month AI/ML training program to gain hands-on experience in cutting-edge technologies. Work on real-world projects, enhance your skills, and accelerate your career in the AI and machine learning fields.

Objective

  • Build advanced knowledge and skills in AI/ML, including deep learning and NLP.
  • Gain exposure to future-ready topics like transformers and real-world applications.
  • Create multiple projects to build a portfolio.

Structure

The first 3 months follow the same structure as the 3-month plan, focusing on fundamentals and ANN. The additional 3 months include advanced topics and large-scale projects.

Month 4: Deep Learning Advanced Topics

Week 13: Convolutional Neural Networks (CNN)

  • Topics:
    • High-level understanding of CNNs: Filters, pooling, and feature maps.
    • Applications of CNN in image processing.
  • Tasks:
    • Analyze an existing pre-trained CNN model like ResNet.

Week 14: Transfer Learning and Pretrained Models

  • Topics:
    • Introduction to transfer learning.
    • Fine-tuning pre-trained models.
  • Tasks:
    • Use a pre-trained model to classify a custom image dataset.

Week 15: Recurrent Neural Networks (RNN)

  • Topics:
    • Sequence modeling with RNNs.
    • Applications in text and time-series data.
  • Tasks:
    • Implement an RNN for a sentiment analysis task.

Week 16: Introduction to Transformers

  • Topics:
    • Basics of transformers and their importance in NLP.
    • Overview of BERT and GPT.
  • Tasks:
    • Use Hugging Face Transformers to fine-tune BERT for text classification.

Month 5: Natural Language Processing (NLP)

Week 17: Text Preprocessing

  • Topics:
    • Tokenization, stemming, lemmatization.
    • Bag-of-Words, TF-IDF.
  • Tasks:
    • Perform text preprocessing on an IMDB dataset.

Week 18: Advanced NLP Techniques

  • Topics:
    • Named Entity Recognition (NER).
    • Topic modeling using Latent Dirichlet Allocation (LDA).
  • Tasks:
    • Apply NER on a news dataset.

Week 19: Chatbot Development

  • Topics:
    • Building chatbots using rule-based and ML techniques.
  • Tasks:
    • Create a chatbot for customer query resolution.

Week 20: Project on NLP

  • Activities:
    • Work on an NLP-focused project, such as sentiment analysis or question-answering systems.

Month 6: Capstone Project and Industry Preparation

Week 21-22: Capstone Project

  • Activities:
    • Select and execute a large-scale project (e.g., recommendation system, fraud detection).
    • Implement advanced ML/DL techniques to achieve objectives.

Week 23: Portfolio Development

  • Activities:
    • Refine GitHub repositories.
    • Prepare a portfolio website showcasing all projects.

Week 24: Career Preparation

  • Activities:
    • Mock interviews and resume reviews.
    • Present the capstone project to mentors.