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.

Enroll
Batches
Explore

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

Name: Dr. Galiveeti Poornima
Designation: Assistant Professor
Affiliation: Presidency University, Bengaluru, SJCIT , Chikkabalapur, IIITB, Bengaluru

Dr. Galiveeti Poornima is a distinguished academician and researcher specializing in Machine Learning (ML) and Deep Learning. With a Ph.D. in Computer Science from Presidency University, Bengaluru, she has devoted her research to pioneering advancements in Signed Language Recognition, particularly for Indian Sign Languages. Her expertise extends to the application of ML and AI in healthcare, IoT, and cybersecurity, where she has contributed significantly to the development of intelligent systems for medical diagnostics and social media analytics.

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

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Learner Support

Best of support with us

Phone (For Voice Call)

WhatsApp (For Call & Chat)

Certificate

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

Country

Profession

Affiliation

Note: The information shown in the above-mentioned analytics is live and may include information that is not completely correct like spelling mistakes, grammatical mistakes , factual errors or even mis representation as this is what participants have entered, the information is currently not edited and or filtered , but at later stages they will be filtered to provide true data representation.