This is a flexible 35 to 60-hour instructor-led training program designed to provide students with a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML). The course blends theory with hands-on coding, mini-projects, and a capstone project to make learners industry-ready.

⏱ Duration: 35 to 60 Hours
📚 Sessions: 1 per week, 4hrs per Session
👥 Batch Size: 40 Students
🏫 Location: College

Course Overview:

Why this course?

This instructor-led training program is designed to provide students with a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML).

The course combines:

• Conceptual learning

• Hands-on coding

• Real-world datasets

• Mini-projects and capstone project

This ensures students are industry-ready and project-driven learners.

Module 1: Introduction to AI & ML (4 hrs)

AI fundamentals, types of AI, ML vs DL, real-world applications

Module 2: Python for AI/ML (12 hrs)

Python basics, NumPy, Pandas, Matplotlib, Seaborn, Jupyter

Module 3: Data Preprocessing & EDA (6 hrs)

Data cleaning, feature engineering, exploratory data analysis

Module 4: Machine Learning Algorithms (14 hrs)

Regression, classification, clustering, PCA, evaluation metrics

Module 5: Neural Networks & Deep Learning (10 hrs)

ANN, CNN, RNN, LSTM, TensorFlow, PyTorch

Module 6: NLP & Computer Vision (6 hrs)

Text processing, embeddings, image analysis, OpenCV

Module 7: Model Deployment & MLOps (4 hrs)

Flask, Streamlit, cloud deployment (AWS/GCP)

Capstone Project (4 hrs)

End-to-end AI/ML solution with real-world dataset

Course Curriculum

What You Will Learn

📘 Knowledge

• Understand AI, ML, and Deep Learning concepts

• Learn supervised, unsupervised, and reinforcement learning

• Understand neural network architectures

🛠 Skills

• Write Python programs for data analysis

• Build and evaluate ML models

• Work with NLP and Computer Vision

• Deploy AI applications

🚀 Career Outcomes

• Build portfolio-ready AI projects

• Gain industry-relevant skills

• Prepare for internships and AI/ML jobs

For Windows:

• Processor: Intel i5-4590/ AMD Ryzen 5 1500X

• Ram: 8 GB or greater (16GB recommended)

• Disk Space: 60+ GB (SSD recommended)

• Operating System: Windows 10 (64-bit)

• Graphic API: DirectX 10,11 or 12 capable GPUs

For Mac:

• Operating System: High Sierra 10.13 or higher using metal graphics

• CPU: X64 Architecture

• Ram: 8 GB or greater

• Disk Space: 60+ GB

For Smartphone:

• Operating System: Android OS 9 or later

• Ram: 1 GB (4GB Recommended)

• Other Features: Gyroscope, Working Rear Camera

• Other Compatible Tools : Any script editor(Preferred Visual Studio or VS code)

• Diplomas and Graduates

• Course for both Coders & Non-Coders

• All Engineering disciplines

• Undergraduate students (Engineering / Science preferred)

• Basic programming knowledge (C / Java / Python)

• Basic math (algebra, statistics, probability)

• Computer literacy (OS, internet, MS Office)

• Interest in AI/ML and problem-solving

Prerequisites and Eligibility

System Requirements

🎓 Certification

Upon successful completion, students will receive a co-branded certificate:

✔ E16 AI
✔ College
✅ National-level recognition
✅ Strong value for placements

🎓 Mentoring & Career Support

Students receive continuous mentoring throughout the program:

• Weekly mentor guidance sessions

• Project mentoring & debugging support

• Mock hackathons & innovation challenges

• Resume building & LinkedIn support

• Mock interviews & placement readiness

🔥 Why Choose This Program?

✔ Industry-focused curriculum
✔ Hands-on learning approach
✔ Real-world projects
✔ Placement readiness support