About This Course
Unlock the power of AI with our comprehensive course, designed for beginners and aspiring experts. Learn core AI concepts, machine learning fundamentals, and deep learning with TensorFlow and PyTorch. Explore real-world applications in computer vision, natural language processing, and automation.
Gain hands-on experience with AI projects and understand ethical considerations, deployment strategies, and optimization techniques. Whether you're a student, developer, or AI enthusiast, this course will equip you with the skills to build intelligent systems and advance your career in AI.
Course Benefits
- 35+ hrs of Training
- Industry-based assessments
- Outcome-based learning
- Hands-on projects
- Lifetime LMS Access
- Industry certification
Course Curriculum
1. Introduction to Artificial Intelligence
- • AI vs ML vs DL
- • Introduction to AI, ML & DL
- • Industry Applications
- • Real-World AI in Action
- • Challenges & Future Trends
2. Neural Networks
- • Introduction to Neural Networks
- • ANN Architecture & Components
- • Forward Propagation
- • Backpropagation Algorithm
- • Loss Functions & Optimization
- • Hands-on Implementation
3. Deep Learning Frameworks
- • Introduction to TensorFlow & PyTorch
- • Core Components
- • Model Building & Training
- • Key Features & Tools
- • Ecosystem & Community
- • Applications & Use Cases
4. Convolutional Neural Networks (CNN)
- • Introduction to CNNs
- • CNN Architecture
- • Applications of CNNs
- • Advantages & Limitations
- • Introduction to Transfer Learning
- • ResNet vs VGG
5. Object Detection
- • Introduction to Object Detection
- • YOLO vs. Faster R-CNN
- • Use Cases of Object Detection
- • Introduction to Image Segmentation
- • U-Net Architecture & Working
- • Applications & Advantages
6. NLP Basics
- • Introduction to NLP
- • Text Preprocessing
- • Feature Extraction Techniques
- • What Are Word Embeddings?
- • Word2Vec, GloVe & FastText
- • Applications & Advantages
7. Advanced NLP
- • Sequential Data in NLP
- • RNNs, LSTMs, GRUs
- • Applications of RNN-based Models
- • Introduction to Transformers
- • Key Components of Transformers
- • BERT & GPT Overview
8. Reinforcement Learning
- • Introduction to Markov Decision Process (MDP)
- • Basics of Reinforcement Learning
- • Q-Learning Algorithm
- • Deep Q-Network (DQN)
- • Applications & Use Cases
9. Generative AI & LLMs
- • Introduction to Generative AI
- • GANs (Generative Adversarial Networks)
- • VAEs (Variational Autoencoders)
- • LLMs Overview (GPT, Gemini, etc.)
- • Fine-tuning LLMs
- • Applications & Trends
10. AI in Production & AI Ethics
- • AI Model Deployment
- • AI APIs & Integration
- • Production Challenges
- • AI Bias & Fairness
- • Explainable AI (XAI)
- • Responsible AI Practices
11. Edge AI & AI for Business
- • Introduction to Edge AI
- • AI on Edge Devices
- • TinyML
- • AI in Finance
- • AI in Healthcare
- • Business Impact & Strategy
12. AI in Robotics, Gaming, and Ethical Governance
- • AI for Robotics
- • Industrial Automation
- • AI in Gaming
- • AI Regulations & Policies
- • Responsible AI Development
- • Governance & Oversight
Requirements
- Basic programming knowledge (preferably Python)
- Understanding of mathematics & statistics
- Computer with internet connection
- Determination to learn and build AI applications
Material Includes
- 35+ Hours of Video Lectures
- Lifetime LMS Access
- Section Quizzes & Assessments
- Industry-Based Hands-on Projects
- Certificate of Completion
Why Choose This Course
Industry Expert Trainers
Learn from experienced MNC-certified professionals with real-world AI expertise
Hands-On Projects
Build real AI applications and strengthen your portfolio with practical projects
Industry Certification
Receive recognized certification to boost your career in AI and machine learning
Mentor Support
Get personalized guidance and clear blockers with dedicated mentor office hours
Self-Paced Learning
Learn at your own pace with lifetime access to course materials and updates
Career Support
Access to placement assistance and our growing network of AI professionals
Ready to Master Artificial Intelligence?
Join 1,500+ students already learning AI. Start your journey today and build intelligent systems that shape the future.