Tech Prime Internship Program

8-Week Advanced AI/ML Training Portfolio

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Table of Contents

• Program Overview
• Program Structure
  • Week 1: PyTorch Fundamentals
  • Week 2: Computer Vision with CNNs
  • Week 3: Advanced Computer Vision
  • Week 4: NLP Fundamentals
  • Week 5: Advanced NLP
  • Week 6: Large Language Models
  • Week 7: Retrieval-Augmented Generation
  • Week 8: Agentic AI Capstone
• Portfolio Checklist
• Technologies & Tools
• Contact & Connect

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Program Overview

Aspect	Details
Program	8-Week Advanced AI/ML Internship Program
Organization	Tech Prime Pvt Limited
Duration	8 Weeks
Commitment	9:00 AM – 5:00 PM (Monday – Friday)
Objective	Build advanced proficiency in PyTorch, Computer Vision, NLP, Large Language Models, and Agentic AI through hands-on, project-based training.

Description

The 8-Week Advanced AI/ML Internship Program by Tech Prime Pvt Limited delivers hands-on training in deep learning, computer vision, natural language processing, large language models, and agentic AI systems through a structured, project-based curriculum. Participants use industry-standard tools and frameworks to complete one real-world project each week, building a professional portfolio. By the end of the program, trainees are equipped to design, fine-tune, and deploy modern AI systems, and to showcase their work on GitHub.

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Program Structure

Week 1: PyTorch Fundamentals

Component	Details
Focus	PyTorch Fundamentals
Topics	Tensors, autograd, nn.Module, loss functions, optimizers, training loops, GPU acceleration
Weekly Project	Image Classifier (CIFAR-10) built end-to-end in PyTorch
Deliverables	Lectures, Exercises, GitHub Upload, README

Project Goals:

• Complete the project independently
• Document findings
• Push source code to GitHub
• Prepare a short presentation

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Week 2: Computer Vision with CNNs

Component	Details
Focus	Computer Vision (CNNs)
Topics	CNN architectures, transfer learning, data augmentation, ResNet/EfficientNet fine-tuning
Weekly Project	Custom Object Detection System (YOLO-based)
Deliverables	Lectures, Exercises, GitHub Upload, README

Project Goals:

• Complete the project independently
• Document findings
• Push source code to GitHub
• Prepare a short presentation

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Week 3: Advanced Computer Vision

Component	Details
Focus	Advanced Computer Vision
Topics	Segmentation, U-Net architectures, OpenCV pipelines, image preprocessing
Weekly Project	Medical Image Segmentation System
Deliverables	Lectures, Exercises, GitHub Upload, README

Project Goals:

• Complete the project independently
• Document findings
• Push source code to GitHub
• Prepare a short presentation

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Week 4: NLP Fundamentals

Component	Details
Focus	NLP Fundamentals
Topics	Tokenization, word embeddings, RNNs, LSTM, Transformer basics, HuggingFace ecosystem
Weekly Project	Sentiment Analysis / Text Classification System
Deliverables	Lectures, Exercises, GitHub Upload, README

Project Goals:

• Complete the project independently
• Document findings
• Push source code to GitHub
• Prepare a short presentation

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Week 5: Advanced NLP

Component	Details
Focus	Advanced NLP
Topics	Named Entity Recognition (NER), fine-tuning BERT, sequence-to-sequence models, evaluation metrics
Weekly Project	NER & Text Summarization System
Deliverables	Lectures, Exercises, GitHub Upload, README

Project Goals:

• Complete the project independently
• Document findings
• Push source code to GitHub
• Prepare a short presentation

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Week 6: Large Language Models

Component	Details
Focus	LLMs
Topics	LLM architecture, prompt engineering, parameter-efficient fine-tuning (LoRA), LLM Evaluation
Weekly Project	Fine-Tuned LLM-Powered Chatbot
Deliverables	Lectures, Exercises, GitHub Upload, README

Project Goals:

• Complete the project independently
• Document findings
• Push source code to GitHub
• Prepare a short presentation

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Week 7: Retrieval-Augmented Generation (RAG)

Component	Details
Focus	RAG
Topics	Vector databases, embeddings, retrieval pipelines, LangChain / LlamaIndex
Weekly Project	RAG-Based Document Q&A System
Deliverables	Lectures, Exercises, GitHub Upload, README

Project Goals:

• Complete the project independently
• Document findings
• Push source code to GitHub
• Prepare a short presentation

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Week 8: Agentic AI (Capstone)

Component	Details
Focus	Capstone: Agentic AI
Topics	AI agents, tool-use, planning, multi-agent orchestration (LangGraph / CrewAI)
Weekly Project	Autonomous Multi-Agent AI System
Deliverables	Lectures, Exercises, GitHub Upload, README

Project Goals:

• Complete the project independently
• Document findings
• Push source code to GitHub
• Prepare a short presentation

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Portfolio Checklist

• 8 completed advanced AI/ML projects
• Well-documented GitHub repository
• Professional README files for each project
• Project demonstrations
• Resume updated with projects

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Technologies & Tools

Core Technologies

Category	Technologies
Deep Learning	PyTorch, TensorFlow
Computer Vision	OpenCV, YOLO, ResNet, EfficientNet, U-Net
NLP	HuggingFace Transformers, BERT, LSTM, RNN
LLMs	LoRA, Prompt Engineering, LLM Evaluation
RAG	LangChain, LlamaIndex, Vector Databases
Agentic AI	LangGraph, CrewAI
Data Science	NumPy, Pandas, Matplotlib, Scikit-learn
MLOps	Git, GitHub, Model Deployment

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Contact & Connect

Platform	Link
GitHub	github.com/sanaullah-ai
LinkedIn	linkedin.com/in/sanaullah-ai

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Acknowledgments

Special thanks to Tech Prime Pvt Limited for providing this comprehensive training opportunity and for the continuous guidance throughout the program.

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Tech Prime Pvt Limited | 8-Week Advanced AI/ML Internship Program

Built with dedication, curiosity, and a commitment to excellence.

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