Machine Learning Training Programs Overview
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Foundation Course
Duration :
Cost :
1 Month (32+ hours)
₹10,000 (Discounted to ₹5,000)
Course Highlights :
Python Fundamentals: Gain a solid understanding of Python, the most popular programming language in Machine Learning. Topics include data types, control structures, functions, and modules.
ML Algorithms with Examples: Learn and implement basic Machine Learning algorithms such as Linear Regression, Logistic Regression, Decision Trees, and K-Nearest Neighbors with practical examples.
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Introduction to Neural Networks: Understand the basic concepts and architecture of neural networks, including perceptrons, activation functions, and feedforward networks.
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Build One Neural Network: Hands-on experience in building a simple neural network from scratch using Python and basic libraries.
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GitHub Introduction: Learn the basics of version control and how to use GitHub for your projects, including repositories, branches, commits, and pull requests.
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1 ML Project: Work on a project that can be submitted to your college. Example projects include house price prediction, spam email detection, or handwritten digit recognition.
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Resume Building Overview: Get tips and guidance on how to build a strong resume, including how to highlight your technical skills and projects.
Outcome: By the end of this course, you will have a fundamental understanding of Machine Learning and a completed project to showcase in your portfolio.
Advanced Course
Duration :
Cost :
1 Month (32+ hours)
₹25,000 (Discounted to ₹15,000)
Course Highlights :
ML Python Libraries: Deep dive into essential Python libraries for Machine Learning such as Pandas for data manipulation, NumPy for numerical operations, Scikit-Learn for machine learning models, and Matplotlib for data visualization.
Transformers: Learn about transformer models, their architecture, and applications in NLP tasks. Study how transformers have revolutionized the field with models like BERT, GPT, and T5.
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NLP Techniques: Understand Natural Language Processing techniques including text preprocessing, tokenization, stemming, lemmatization, and sentiment analysis. Explore tools like NLTK and SpaCy.
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Generative Models: Study various generative models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and their applications in image generation, data augmentation, and more.
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Build a Chatbot: Practical experience in building a chatbot using state-of-the-art techniques, integrating NLP and machine learning models to create an interactive conversational agent.
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2 ML Projects: Complete two projects that can be used for college submissions. Example projects include customer sentiment analysis, movie recommendation system, or AI-based chatbots.
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Resume Completion and Interview Preparation: Guidance on completing your resume, emphasizing your new skills and projects, and preparing for technical interviews.
Outcome: By the end of this course, you will have a deeper understanding of advanced Machine Learning concepts, hands-on experience with practical projects, and a well-prepared resume.
Professional Course
Duration :
Cost :
2 Months (32+ hours)
₹50,000 (Discounted to ₹25,000)
Course Highlights :
Build ML Models using Pytorch, Keras, Transformers: Advanced training on building robust Machine Learning models using modern frameworks like PyTorch and Keras. Learn to leverage transformers for cutting-edge applications.
Deploy Machine Learning Models: Learn the end-to-end process of deploying ML models, including model serialization, API creation, and containerization with Docker.
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AWS Serverless Architectures: Gain insights into cloud architectures and serverless computing with AWS, including services like Lambda, S3, and SageMaker.
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Cloud Deployment and Challenges: Understand the challenges of deploying models to the cloud, including scalability, latency, and cost management. Learn best practices for overcoming these challenges.
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5+ ML Projects: Work on multiple projects to build a strong portfolio. Example projects include real-time fraud detection systems, personalized recommendation engines, or autonomous navigation systems.
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Resume Updation, Interviews Process, Mock Interviews: Comprehensive preparation for job interviews, including mock interviews, behavioral questions, and technical assessments.
Outcome:By the end of this course, you will be proficient in building and deploying Machine Learning models, equipped with a professional resume, and ready for the industry with multiple projects to demonstrate your skills.
Enroll Now
Take the next step in your Machine Learning journey and enroll in one of our courses today. Our expert instructors and practical, hands-on approach will ensure you gain the skills and knowledge needed to succeed in the fast-evolving field of Machine Learning.
For more details and registration, please contact:
Email : info@voltusacademy.in
Phone: +91 7013861838