Artificial Intelligence and Machine Learning Essentials
Master the Essentials of AI and Machine Learning: From Concepts to Real-World Application
Virtual (Google Meet)
Mentor Based
Advanced
3 Days
27 -September -2024
5 PM IST
About
This three-day course covers essential AI and ML concepts, deep learning fundamentals, and hands-on model development using Python. Participants will explore both theoretical and practical aspects of AI and ML, with a focus on real-world applications and model building.
Aim
To equip PhD scholars and academicians with foundational and practical skills in artificial intelligence (AI) and machine learning (ML). This course aims to provide a comprehensive understanding of AI and ML concepts, introduce deep learning frameworks, and offer hands-on experience in developing ML models.
Workshop Objectives
- Gain a foundational understanding of AI and ML concepts.
- Learn the differences between supervised and unsupervised learning.
- Understand the basics of deep learning and neural networks.
- Get hands-on experience with TensorFlow and PyTorch.
- Develop and deploy a machine learning model using Python.
Workshop Structure
Day 1: Introduction to AI and ML Concepts
- Overview of AI and ML
- History and evolution of AI and ML
- Current trends and future directions
- Supervised vs Unsupervised Learning
- Key differences and use cases
- Common algorithms and applications
- Introduction to Algorithms
- Overview of essential AI/ML algorithms (e.g., Decision Trees, K-Means)
- Understanding algorithm selection and performance evaluation
Day 2: Deep Learning and Neural Networks
- Basics of Neural Networks
- Structure of neural networks: Layers, neurons, and activation functions
- Introduction to backpropagation and gradient descent
- Introduction to TensorFlow and PyTorch
- Overview of popular deep learning frameworks
- Practical exercises on building simple neural networks
- Practical Examples and Exercises
- Hands-on exercises with real-world datasets
- Building and training neural networks from scratch
Day 3: Hands-on Session
- Creating a Machine Learning Model in Python
- Step-by-step guide to building a machine learning model
- Data preprocessing, model selection, training, and evaluation
- Capstone Project: Model Development
- Developing a complete ML model using Python
- Presenting findings and discussing challenges
Participant’s Eligibility
Data scientists, AI/ML enthusiasts, computer science students, researchers, and academicians.
Important Dates
Registration Ends
2024-09-26
Indian Standard Timing
Workshop Dates
2024-09-27 to 2024-09-29
Indian Standard Timing 5 PM
Workshop Outcomes
- Understand core AI and ML concepts and algorithms.
- Build and train neural networks using deep learning frameworks.
- Develop a complete machine learning model in Python.
- Apply AI and ML techniques to solve real-world problems.
- Gain practical experience through hands-on exercises and projects.
Mentor Profile
Fee Structure
Student
INR. 1499
USD. 40
Ph.D. Scholar / Researcher
INR. 1999
USD. 45
Academician / Faculty
INR. 2999
USD. 50
Industry Professional
INR. 4999
USD. 75
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Data Analyst
- AI Consultant
- Academic Researcher in AI/ML
Job Opportunities
- Tech companies specializing in AI/ML
- Research institutions
- Financial services (e.g., risk analysis, fraud detection)
- Healthcare (e.g., predictive analytics, diagnostic tools)
- Government agencies (e.g., data analysis, automation)
- Academic institutions
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