Advanced AI and Machine Learning for Professionals
Audience: AI professionals, data scientists, and machine learning engineers
Early access to e-LMS included
About This Course
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
Who Should Enrol?
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
Discounted: ₹29,999 | $350
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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