🧠 Artificial Intelligence (AI)
Master Artificial Intelligence from the ground up. both Onsite & Online. Learn AI, Machine Learning, and Deep Learning with practical mini projects and real-world applications. Pair it with our SEO Rank Higher on Google to perform better online.
25000 PKR
17500 PKR for 10 Days
- Duration:1.5 Months with 1 Year support
- Class Timing:To be decided mutually with students
- Mode Of Training:Online & On Campus
What You’ll Learn
AI fundamentals and advanced concepts
Machine Learning and Deep Learning methods
Real-world project implementation
Problem solving with AI tools
Course Description
Artificial Intelligence is shaping the future of technology. This course covers everything from the fundamentals of AI to advanced machine learning and neural networks. You will explore real-world use cases, work on projects, and apply AI tools for problem-solving. The program focuses on practical knowledge, giving you skills that can be applied in research, industry, or your own AI-driven projects.
Who Should Join?
- Students who want to build a career in AI and ML
- Professionals aiming to upgrade their skills
- Entrepreneurs looking for AI-driven solutions
- Tech enthusiasts curious about future technologies
Material Includes
- Recorded video tutorials
- Downloadable datasets and resources
- Source code for practice
- Hands-on projects
- Course completion certificate
Requirements
- Basic computer knowledge
- Python familiarity is helpful but not required
- Laptop or desktop with internet
- Interest in learning modern technologies
- No prior AI experience needed
Course Curriculum
Module 1: Introduction to AI
Lesson 1.1: What is Artificial Intelligence
Lesson 1.2: Applications of AI
Lesson 1.3: AI in everyday life
Module 2: Core AI Concepts
Lesson 2.1: Python basics
Lesson 2.2: Using libraries (NumPy, Pandas, Matplotlib)
Lesson 2.3: Handling datasets
Module 3: Machine Learning Fundamentals
Lesson 3.1: Supervised learning
Lesson 3.2: Unsupervised learning
Lesson 3.3: Evaluating ML models
Module 4: Deep Learning with Neural Networks
Lesson 4.1: Neural networks explained
Lesson 4.2: Backpropagation and training
Lesson 4.3: Building models with TensorFlow/Keras
Module 5: AI Mini Projects
Lesson 5.1: Image recognition
Lesson 5.2: Chatbot with NLP
Lesson 5.3: Predictive analytics
Module 6: Advanced AI Tools
Lesson 6.1:Natural Language Processing
Lesson 6.2: Computer Vision
Lesson 6.3: AI in cloud platforms
Module 7: Capstone and Future of AI
Lesson 7.1: Final AI project
Lesson 7.2: Ethical use of AI
Lesson 7.3: Future AI trends
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