Programme Parameters
Graduate / Intermediate
8 Weeks (80 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
The AI Programming Tools for Developers course is an 8-week program aimed at developers and tech enthusiasts looking to master popular AI frameworks. With a focus on Python-based tools like TensorFlow, PyTorch, and Keras, this course equips participants with the skills to efficiently build and deploy AI models. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
The AI Programming Tools for Developers course is an 8-week program aimed at developers and tech enthusiasts looking to master popular AI frameworks. With a focus on Python-based tools like TensorFlow, PyTorch, and Keras, this course equips participants with the skills to efficiently build and deploy AI models.
📋 Course Objectives
1. Translate biotechnology theory into practical, reproducible analysis.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• Tangible, reproducible biotechnology work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Python for AI Development (2 Weeks)
Introduction to Python in AI development • Setting up Python environments (Anaconda, Jupyter, etc.) • Core Python concepts: functions, loops, conditionals • Data handling with NumPy and Pandas
TensorFlow & PyTorch Fundamentals (2 Weeks)
Overview of TensorFlow and PyTorch • Building and training neural networks with these frameworks • Exploring TensorFlow and PyTorch APIs • Evaluating and tuning models
Keras for Model Building (2 Weeks)
Introduction to Keras as a high-level API for neural networks • Building and optimizing models using Keras • Training, validating, and evaluating deep learning models • Hands-on project: Image classification using Keras
GitHub for AI Development (2 Weeks)
Introduction to GitHub for version control and project collaboration • Best practices for branching, merging, and managing AI projects • Collaborative workflows for AI projects • Hands-on project: Set up and manage an AI project repository on GitHub
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | RStudio |
Frequently Asked Questions
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