| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Intermediate |
| Duration | 8 Weeks |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹10749 / $145 |
| Tools | R RStudio |
About the AI Programming Tools for Developers 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.
It’s perfect for those wanting to deepen their AI knowledge or transition into AI development. The program is structured for hands-on learning, ensuring you can work confidently on real-world AI projects by the end.
Program Highlights
• Comprehensive coverage of AI Programming Tools for Developers from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Science & Technology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Science & Technology
• Career-oriented training for academic and professional growth in Science & Technology
Course Curriculum
Module 1: 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
Module 2: 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
Module 3: 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
Module 4: 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
Tools, Techniques, or Platforms Covered
R RStudio
Real-World Applications
- Apply AI Programming Tools for Developers skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical Science & Technology competencies
- Solve industry-relevant problems using AI Programming Tools for Developers methodologies and tools
- Contribute to open-source projects and collaborative research in Science & Technology
- Prepare for competitive examinations, interviews, and professional certifications in Science & Technology
Who Should Attend & Prerequisites
- Students pursuing degrees in Science & Technology, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into Science & Technology roles
- Researchers and academicians looking to adopt modern techniques in Science & Technology
- Entrepreneurs, freelancers, and self-learners interested in practical Science & Technology knowledge
Certification
