Artificial Intelligence

NexTech Skills facilitates real and functional training that enhances your ability to utilize this operating system confidently as your guide to enhancing your career

Duration: 6 Months

Program Fee: PKR.42,000

Fee Installment Plan: Available

overview

The Artificial Intelligence Mastery Course is a comprehensive 6-month program designed to equip learners with a deep understanding of AI concepts, tools, and techniques. Covering machine learning, deep learning, natural language processing, computer vision, and AI deployment, the course prepares students for industry roles in AI and data science, as well as academic and research opportunities.

Course Outline

– History and evolution of AI.
– Applications of AI in industries.
– Understanding key AI concepts: machine learning, deep learning, neural networks, and natural language processing.

2. Mathematics and Programming for AI

– Essential mathematics: linear algebra, calculus, and probability.
– Programming fundamentals: Python for AI.
– Introduction to libraries and frameworks: NumPy, Pandas, Matplotlib.

3. Machine Learning Fundamentals*

– Supervised, unsupervised, and reinforcement learning.
– Algorithms: Linear regression, decision trees, support vector machines, and clustering.
– Evaluating model performance and avoiding overfitting.

4. Advanced Machine Learning Techniques

– Ensemble methods: Random forests, boosting, and bagging.
– Dimensionality reduction: PCA, t-SNE.
– Introduction to time-series analysis.

5. Deep Learning Basics

– Understanding neural networks and backpropagation.
– Introduction to TensorFlow and PyTorch.
– Building and training simple neural network models.

6. Advanced Deep Learning

– Convolutional neural networks (CNNs) for computer vision.
– Recurrent neural networks (RNNs) for sequential data.
– Transfer learning and fine-tuning pre-trained models.

7. Natural Language Processing (NLP)

– Text preprocessing and tokenization.
– Sentiment analysis, text classification, and named entity recognition.
– Advanced NLP with transformers (BERT, GPT).

8. Computer Vision

– Image preprocessing and feature extraction.
– Object detection, face recognition, and image segmentation.
– Real-world applications of computer vision.

9. AI Ethics and Responsible AI

– Understanding biases in AI models.
– Fairness, accountability, and transparency in AI systems.
– Legal and ethical considerations in AI applications.

10. AI in Real-World Applications

– AI in healthcare, finance, education, and marketing.
– Hands-on project development for real-world AI solutions.

11. AI Deployment and Optimization

– Model deployment using cloud platforms (AWS, Azure, Google Cloud).
– Optimizing models for scalability and efficiency.
– Working with edge AI and IoT integration.

12. Capstone Project

– End-to-end AI project development.
– Data collection, preprocessing, model building, and deployment.
– Presentation of project findings and outcomes.

Certification

Participants will receive a *Professional Certification in Artificial Intelligence* upon successful completion of the course and the capstone project.

Career Opportunities

Machine Learning Engineer
AI Specialist
Data Scientist
Computer Vision Engineer
NLP Engineer
AI Researcher
Business Intelligence Developer
AI Consultant
Robotics Process Automation (RPA) Developer
AI Product Manager

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