• Develop proficiency in machine learning algorithms and techniques.

   • Gain expertise in deep learning, neural networks, and natural language processing.

   • Learn to implement AI and ML solutions in real-world scenarios.

   • Acquire skills in data preprocessing, model evaluation, and optimization.

   • Master programming languages and frameworks like Python and TensorFlow.

Where Students Can Apply Their Knowledge:

Graduates of this program can apply their knowledge in various industries and job roles, including:

   • Healthcare: Predictive analytics for disease diagnosis and treatment.

   • Finance: Fraud detection and algorithmic trading.

   • E-commerce: Recommendation systems and customer segmentation.

   • Autonomous Vehicles: Computer vision and sensor data analysis.

   • Manufacturing: Quality control and predictive maintenance.

Course Modules

•  Module 1: Introduction to AI and ML

• ​Module 2: Machine Learning Fundamentals

• Module 3: Deep Learning and Neural Networks

• Module 4: Natural Language Processing

• Module 5: Real-World Applications

Prerequisites:

Basic programming knowledge in Python and a fundamental understanding of mathematics and statistics are recommended but not mandatory. A strong desire to learn and solve complex problems is essential.

Resources Required:

Students should have access to a computer with internet connectivity. Software such as Python, TensorFlow, and Jupyter Notebook will be required, and access to relevant datasets will be provided during the course.

Assessment Method:

​Students will be evaluated through a combination of assignments, projects, quizzes, and a final capstone project. This multifaceted approach ensures a comprehensive assessment of their knowledge and practical skills in AI and ML.

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Instructor Name: Nuthan Kumar

Instructor Bio: 

As a seasoned professional and dynamic trainer in the field of software testing, I bring a wealth of knowledge and expertise to the role of Manual Testing and Automation Testing Trainer. With a career spanning over 10+ years, I have honed my skills and developed a deep understanding of software quality assurance practices.

In the realm of Manual Testing, I have meticulously crafted test cases, conducted comprehensive test scenarios, and executed exhaustive test plans to ensure the reliability and functionality of various software applications. My hands-on experience encompasses a wide range of industries, including [mention specific industries], which has equipped me with the versatility to adapt to diverse testing requirements.

In parallel, I have also delved into the realm of Automation Testing, where I've harnessed the power of cutting-edge tools and frameworks to streamline testing processes. I have proficiently designed and implemented automated test scripts, harnessing the benefits of efficiency and repeatability that automation offers.

What sets me apart as a trainer is my passion for imparting knowledge and nurturing the skills of aspiring software testers. My training approach combines practical insights from real-world projects with a structured learning framework, ensuring that my students not only grasp the theoretical concepts but also gain hands-on experience in both manual and automation testing.

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