501

AI & Machine Learning Internship — Pro (2 Months)

Last Update July 25, 2026
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About This Course

Welcome to the AI & Machine Learning Internship — Pro Tier by Synkoc IT Services.

  • Duration: 2 Months
  • Projects: 2 Projects
  • Includes: 4 Mentor Sessions + Certificate
  • Mode: Online (Remote)
  • Certificate: Yes — issued on successful project evaluation

This internship provides hands-on experience in AI & Machine Learning through a structured, mentor-guided program.

Curriculum

108 Lessons

Day 1: Advanced Neural Network Architectures

Advanced Neural Network Architectures
Advanced Neural Network Architectures Lab
MentorTraining Session (1 hr, live)-Introduction to AI, ML & Generative AI, AI Applications, AI Trends (ChatGPT, Gemini, Copilot), Python for AI

Day 2: Attention Mechanisms

Day 3: The Full Transformer Architecture

Day 4: Pretrained Models & Transfer Learning

Day 5: Fine-tuning Large Language Models

Day 6: Prompt Engineering & In-Context Learning

Day 7: Embeddings & Semantic Search

Day 8: Retrieval-Augmented Generation

Day 9: Building Real LLM Applications

Day 10: LLM Evaluation

Day 11: Object Detection

Day 12: Image Segmentation

Day 13: Generative Adversarial Networks

Day 14: Variational Autoencoders

Day 15: Diffusion Models

Day 16: Vision Transformers

Day 17: Multi-modal Models

Day 18: Audio & Speech Models

Day 19: Data Augmentation

Day 20: Model Compression

Day 21: Containerization for ML

Day 22: Cloud ML Deployment

Day 23: Scaled Serving

Day 24: CI/CD for ML

Day 25: Feature Stores

Day 26: Distributed Training

Day 27: Spark for ML

Day 28: Observability for ML

Day 29: System Design for ML

Day 30: Adversarial Robustness

Day 31: Reinforcement Learning

Day 32: Graph Neural Networks

Day 33: Bayesian Methods

Day 34: Causal Inference

Day 35: Multi-Armed Bandits

Day 36: Capstone: Fraud Detection End-to-End

Day 37: Capstone: Churn Prediction & Retention

Day 38: Capstone: Demand Forecasting & Inventory

Day 39: Capstone: Dynamic Pricing Optimization

Day 40: Tokenization & Embeddings

Day 41: Efficient Fine-Tuning with LoRA

Day 42: Retrieval-Augmented Generation

Day 43: Model Compression & Safety Guardrails

Day 44: Capstone: Recommendations & Monitoring

Day 45: Structuring & Documenting Your Project

Day 46: Testing, Validating & Debugging Your Project

Day 47: Building Your Demo & Presentation

Day 48: Course Complete

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Your Instructors

admin

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Shruthi Paul

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ai-machine-learning-internship-pro-2-months
Free
Level
Beginner
Lectures
108 lectures
Subject
501

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