Artificial Intelligence & Machine Learning Training in Hyderabad & Online | Job-Oriented Program with Real-Time Projects
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This course is also available as offline classroom training in Hyderabad with hands-on practical sessions and instructor guidance.
Master Artificial Intelligence (AI) and Machine Learning (ML) with T-MaxEdTech’s industry-focused training program designed to make you job-ready. This course covers Python, data handling, machine learning algorithms, deep learning, and real-time AI applications used by top companies.
Gain hands-on experience by working on real-time datasets and projects. Learn how to build intelligent systems, predictive models, and automation solutions using modern AI tools.
👉 Online Live Training Available Across India
👉 Offline Classroom Training Available Only in Hyderabad (HITEC City)
👉 100% Job-Oriented Curriculum + Placement Assistance
WHY CHOOSE THIS COURSE?
✔️ Industry-Relevant AI & ML Curriculum
✔️ Real-Time Projects with Datasets
✔️ Hands-On Practical Learning
✔️ Live Instructor-Led Online Training
✔️ Classroom Training in Hyderabad (HITEC City)
✔️ Resume Building & Interview Preparation
✔️ Placement Assistance Support
TOOLS & TECHNOLOGIES COVERED
- Python Programming
- NumPy & Pandas
- Matplotlib & Seaborn
- Scikit-learn
- TensorFlow / Keras
- Machine Learning Algorithms
- Deep Learning Concepts
- NLP (Natural Language Processing)
- Jupyter Notebook
- Any Degree,
- BE/B.Tech
- 10 Sections
- 40 Lessons
- Lifetime
- Module 1: Introduction to AI & Machine LearningUnderstand the fundamentals of Artificial Intelligence and Machine Learning, including real-world applications and industry use cases.4
- Module 2: Python for Data ScienceLearn Python programming required for AI/ML, including data structures, functions, and libraries used in data science.4
- Module 3: Data Analysis & VisualizationUnderstand how to analyze and visualize data using Python libraries to extract meaningful insights.4
- Module 4: Machine Learning AlgorithmsLearn core machine learning algorithms for classification, regression, and clustering.4
- Module 5: Model Evaluation & OptimizationUnderstand model performance metrics and techniques to improve accuracy.4
- Module 6: Deep LearningLearn neural networks and deep learning concepts using TensorFlow/Keras.4
- Module 7: Natural Language Processing (NLP)Understand how machines process human language and build NLP-based applications.4
- Module 8: Real-Time ProjectsWork on real-world datasets and build AI/ML models for practical applications.4
- Module 9: Model DeploymentLearn how to deploy machine learning models into real-time applications.4
- Module 10: Case Studies & Best PracticesExplore industry case studies and best practices for building scalable AI solutions.4
Get unlimited access to all learning content and premium assets Membership Pro
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