Taruna Technology Taruna Tech

AI & Machine Learning Course

Searching for the best AI & Machine Learning course ? Enroll in Taruna Technology's industry-driven AI/ML Certification Program and master in-demand skills like Python programming, TensorFlow, deep learning, and neural networks. Our hands-on curriculum—designed by AI industry experts—gives you practical experience building intelligent systems that solve real-world problems., you'll be prepared for high-demand roles like Machine Learning Engineer, Data Scientist, and AI Specialist in India's top tech companies. Whether you're a student or IT professional, our comprehensive training transforms you into a job-ready AI expert. Enroll today and launch your future in Artificial Intelligence!

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What is Artificial Intelligence & Machine Learning?

Artificial Intelligence (AI) is the simulation of human intelligence in machines, while Machine Learning (ML) is a subset of AI that enables systems to learn from data without explicit programming. At Taruna Technology, our course covers Python programming, data preprocessing, supervised and unsupervised learning, neural networks, deep learning with TensorFlow and PyTorch, and real-world AI project deployment.

Our curriculum is built around industry demands, ensuring you graduate with practical skills in building predictive models, computer vision systems, and natural language processing applications.

Who Should Join Our AI & Machine Learning Course?

Our AI/ML training program is designed for beginners, professionals, and anyone who wants to build a career in Artificial Intelligence and Machine Learning. If you fall into any of the categories below, this course is perfect for you.

Computer Science & IT Students: Ideal for students who want to specialize in Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
Data Analysts & Data Professionals: Perfect for professionals planning to upgrade their skills and transition into AI/ML or Data Scientist roles.
Software Developers & Engineers: For developers who want to integrate AI/ML models, automation, and predictive analytics into applications.
Research Scholars & Academicians: Suitable for those involved in AI-based research, algorithms, and scientific applications.
Tech Enthusiasts & Innovators: Anyone passionate about Artificial Intelligence, automation, robotics, or emerging technologies.

What Will You Learn in Our AI & Machine Learning Course?

Gain end-to-end expertise in Artificial Intelligence and Machine Learning—from Python programming and data preprocessing to building real-world AI models and deploying them on the cloud. This training is completely hands-on and includes multiple industry-level projects.

3 Months Program

150+ hours of practical AI & ML training with guided mentoring

Intermediate Level

Perfect for beginners with basic Python knowledge

Certification

Receive an industry-recognized AI & Machine Learning certificate

Hands-On Projects

Work on real AI/ML projects

Master Python programming for Data Science and Machine Learning
Perform data preprocessing, feature engineering, and data cleaning
Implement supervised learning algorithms (Regression, Classification)
Build unsupervised learning models (Clustering, PCA, Dimensionality Reduction)
Develop deep learning and neural network models using TensorFlow & Keras
Create advanced computer vision applications using OpenCV
Build natural language processing (NLP) systems with real datasets
Deploy AI/ML models on cloud platforms like AWS, Azure, and Google Cloud
Work on real projects with datasets from industry

Career Opportunities After Learning AI/ML Course

Machine Learning Engineer

Design and implement ML models for business problems
Optimize algorithms for performance and scalability

Data Scientist

Analyze large datasets to extract actionable insights
Build predictive models for business forecasting

AI Research Scientist

Conduct research in deep learning and NLP
Develop novel AI algorithms and architectures

Computer Vision Engineer

Develop image and video analysis systems
Implement object detection and facial recognition

NLP Engineer

Build chatbots, sentiment analysis, and text classification systems
Work on language models like BERT and GPT

AI Product Manager

Define AI product strategy and roadmap
Bridge the gap between data science and business teams

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