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AI Innovator
Take your AI journey to the next level by mastering advanced tools, frameworks, and real-world applications.
Course Description
Take your AI journey to the next level by mastering advanced tools, frameworks, and real-world applications. This course focuses on innovation, problem-solving, and building AI-driven solutions that prepare learners for careers and research in Artificial Intelligence.
What You Will Learn:
- Advanced concepts in AI & Machine Learning
- Hands-on training with popular AI frameworks & tools (e.g., TensorFlow, PyTorch)
- Designing and deploying AI-driven solutions for real-world problems
- Working with complex datasets and applied AI techniques
- Capstone project to demonstrate innovation and practical skills
Minimum Qualification & Requirements:
- Open to college graduates, working professionals, or learners with prior AI/ML knowledge
- A computer with internet access and ability to run AI tools
- Basic coding/programming knowledge recommended
Modes of Learning
- Classroom Learning – In-person, interactive sessions at our academy.
- Online Instructor-Led – Live virtual classes with real-time guidance.
- Online Self-Paced – Pre-recorded lessons you can learn anytime, anywhere.
Welcome to AI Innovator
Course overview, outcomes, and expectations
📖 1 lecture | ❓ 3 questions | ⏱️ 30 minCourse Structure & Tools Setup
Installing frameworks (TensorFlow, PyTorch) & preparing environment
📖 2 lectures | ⏱️ 45 minDeep Dive into Machine Learning & Neural Networks
Understanding advanced ML algorithms & architectures
📖 3 lectures | ❓ 5 questions | ⏱️ 60 minAI Research Trends & Case Studies
Exploring cutting-edge AI innovations globally
📖 2 lectures | ⏱️ 45 minTensorFlow & PyTorch Essentials
Core functionalities, workflows, and project setup
📖 3 lectures | ⏱️ 60 minHands-On Project 1: Image Classification Model
Build and train a computer vision model from scratch
📖 2 lectures | ❓ 5 questions | ⏱️ 60 minAI for Natural Language Processing
Text classification, chatbots, and language models
📖 3 lectures | ⏱️ 60 minHands-On Project 2: AI Chatbot with NLP
Build a functional chatbot using deep learning
📖 2 lectures | ⏱️ 60 minWorking with Complex Datasets
Data preprocessing, cleaning, and visualization for AI projects
📖 3 lectures | ❓ 5 questions | ⏱️ 60 minApplied AI Techniques
Feature engineering, model optimization, and evaluation
📖 2 lectures | ⏱️ 45 minDesign Thinking in AI
Approaching AI solutions with creativity & problem-solving mindset
📖 2 lectures | ⏱️ 45 minHands-On Project 3: AI for Social/Business Problem
Solve a real-world challenge with AI
📖 2 lectures | ⏱️ 60 minEnd-to-End AI Solution
Plan, design, and implement a full AI-driven system
📖 1 project | ⏱️ 90 minPresentation & Feedback Session
Showcase your innovation and get feedback from peers/mentors
📖 1 session | ⏱️ 60 minCourse Summary & Career Pathways
Where to go next: research, careers, and advanced certifications
📖 1 lecture | ❓ 3 questions | ⏱️ 30 minCertificate of Completion
Get your industry-recognized certification
📖 1 lecture | ⏱️ 15 minRelated Courses
