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Mentor Based

Advanced AI and Machine Learning for Professionals

Audience: AI professionals, data scientists, and machine learning engineers

Enroll now for early access of e-LMS

MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Advanced
DURATION
10 Weeks

About

The Advanced AI and Machine Learning for Professionals course is designed for individuals in AI and data science roles looking to deepen their expertise. Over 10 weeks, participants will explore advanced topics such as deep learning, reinforcement learning, and computer vision. This hands-on program helps learners apply cutting-edge AI techniques to solve complex real-world problems. By the end of the course, you will be equipped to handle sophisticated AI tasks and implement advanced models in your projects.

Program Structure

Module 1: Advanced Machine Learning Techniques (3 Weeks)

  • Overview of advanced algorithms
  • Ensemble methods: boosting, bagging, stacking
  • Dimensionality reduction (PCA, LDA)
  • Time series forecasting models
  • Hands-on project: Predict stock prices using advanced machine learning models

Module 2: Deep Learning Specialization (3 Weeks)

  • Deep learning basics: neural networks, activation functions
  • Architectures: CNNs, RNNs
  • Hyperparameter tuning and optimization
  • Transfer learning with pre-trained models
  • Hands-on project: Build a deep learning model for image classification using CNNs

Module 3: Reinforcement Learning (2 Weeks)

  • Introduction to reinforcement learning (RL)
  • Markov decision processes (MDPs), policies, and rewards
  • Deep Q-networks (DQN) and policy gradients
  • Applications: robotics, gaming, autonomous systems
  • Hands-on project: Create a reinforcement learning agent to solve a maze

Module 4: Computer Vision and Image Processing (2 Weeks)

  • Fundamentals of computer vision
  • Feature extraction and object detection
  • Working with OpenCV and deep learning
  • Image segmentation, face recognition
  • Hands-on project: Develop an object detection model using computer vision techniques

Participant’s Eligibility

This program is ideal for:

  • AI professionals and machine learning engineers aiming to expand their knowledge.
  • Data scientists interested in mastering deep learning, reinforcement learning, and computer vision.
  • Professionals in AI-driven fields (e.g., robotics, finance, healthcare) who want to stay updated with the latest AI trends.
  • Engineers who want to build sophisticated AI systems to solve real-world problems.

Program Outcomes

After completing this program, you will:

  • Master advanced AI techniques like deep learning, reinforcement learning, and computer vision.
  • Be able to implement complex machine learning models and optimize them for various applications.
  • Understand how to build AI systems capable of solving advanced, real-world challenges.
  • Gain hands-on experience with industry-standard tools such as TensorFlow, PyTorch, and OpenCV.
  • Be prepared for advanced AI roles or projects in industries like robotics, healthcare, and finance.

Fee Structure

Fee:       INR 29,999             USD 350

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

Batches

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Key Takeaways

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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Recent Feedbacks In Other Workshops

Please prepare better material with both foundamentals on the topics and manifacturing processes. More It was not a good idea to just use existing slides from other presentations put together.
Other sources for informations should also be presented for self tuition

GC Faussone : 2025-01-23 at 10:09 pm

great knowledge about topic.


Mr. Pratik Bhagwan Jagtap : 2025-01-22 at 7:29 pm

In general, it seems to me that the professor knows his subject very well and knows how to explain More it well.
CARLOS OSCAR RODRIGUEZ LEAL : 2025-01-20 at 8:07 am

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