Artificial Intelligence Workshop Syllabus and Delivery Plan by VigorEdTech

Workshop Overview:

This workshop provides a foundational understanding of Artificial Intelligence (AI) and its practical applications. Designed for beginners and professionals, it focuses on core AI concepts, machine learning basics, and hands-on implementation. Participants will explore real-world AI use cases, tools, and techniques to gain industry-relevant skills.

Syllabus:

Module 1: Introduction to Artificial Intelligence

• Understanding AI and its Evolution


• Types of AI: Narrow AI, General AI, and Super AI


• Key AI Domains: Machine Learning, Natural Language Processing, Computer Vision, Robotics


• Real-world Applications of AI (Healthcare, Finance, Education, etc.)

Module 2: Basics of Machine Learning

• Difference Between AI, Machine Learning, and Deep Learning


• Types of Machine Learning:
  
  
  
  • Supervised Learning
  
  
  • Unsupervised Learning
  
  
  • Reinforcement Learning
  
  
  
  


• Machine Learning Workflow: Data Collection, Preprocessing, Training, and Evaluation


• Tools and Libraries: Python, Scikit-learn, TensorFlow, PyTorch

Module 3: Data Preparation and Analysis

• Importance of Data in AI


• Data Cleaning and Preprocessing


• Exploratory Data Analysis (EDA)


• Introduction to Visualization Tools: Matplotlib, Seaborn

Module 4: Building Predictive Models

• Linear Regression and Logistic Regression


• Decision Trees and Random Forests


• Introduction to Neural Networks


• Model Evaluation Metrics (Accuracy, Precision, Recall, F1 Score)

Module 5: Natural Language Processing (NLP)

• Fundamentals of NLP


• Text Preprocessing: Tokenization, Lemmatization, and Stemming


• Sentiment Analysis and Chatbot Design


• Tools: NLTK, spaCy

Module 6: Computer Vision Basics

• Understanding Image Data


• Image Preprocessing and Feature Extraction


• Object Detection and Recognition


• Tools: OpenCV, Keras

Module 7: AI in the Cloud

• Introduction to AI Cloud Platforms (AWS, Google AI, Azure)


• Building AI Models on Cloud


• Deployment of AI Models

Module 8: Ethical AI and Future Trends

• Ethical Considerations in AI


• Bias and Fairness in AI


• Future Trends: Generative AI, Quantum AI, Edge AI

Delivery Plan:

Duration:

• Total Workshop Duration: 24 Weeks


• WEEKLY Sessions: 6 hours 

Mode of Delivery:

• Online (via Virtual Classroom) or In-person

Methodology:

• Interactive Sessions: Live lectures with Q&A


• Hands-on Practice: Practical exercises and implementation of AI models


• Group Activities: Collaborative mini-projects and case studies


• Assessments: End-of-workshop quiz and project presentation

Resources Provided:

• Study Materials: PDFs, eBooks, and Video Tutorials


• Access to AI Tools and Platforms


• Recorded Sessions for Revision

Certification:

• A workshop completion certificate will be awarded to participants who attend all sessions and complete the mini-project.

Additional Features:

• Industry Expert Mentors: Guidance from experienced AI professionals


• Networking Opportunities: Connect with peers and industry experts


• Future Learning Pathways: Recommendations for advanced AI courses and certifications

Target Audience:

• Students and professionals new to AI


• Individuals looking to transition to AI-related roles


• Entrepreneurs exploring AI-driven solutions for their businesses

For inquiries, visit vigormdc.in or contact us directly.