DS & ML Advanced machine learning program
Build Intelligent Systems with Advanced Machine Learning. StackRoute’s Functional Advanced Machine Learning Program is a specialized course tailored for developers and programmers aiming to build intelligent applications. This program provides an immersive, hands-on experience that covers essential machine learning techniques such as prediction, classification, clustering, and information retrieval. Learners will work with real-world datasets and apply algorithms using Python to create adaptive systems capable of learning and improving over time. With a strong emphasis on practical implementation and use-case driven learning, this program equips participants with the technical depth and problem-solving mindset required to build Read more
Why Experienced engineers programs?The NIIT StackRoute advantage
NIIT StackRoute delivers immersive, outcome-driven tech training that transforms talent into project-ready professionals from day one. With real-world learning led by industry experts, it reduces time-to-productivity, cuts costs, and ensures a 95% success rate making it the go-to partner for enterprise talent transformation.
Helped build
2 K
Architects
Across
15
Clients
Winning
25
Brandon Hall awards
Program highlights
Build end-to-end ML applications
Equip participants to design, develop, and evaluate intelligent systems that continuously learn and improve through hands-on case studies.
Foster problem-solving with AI
Cultivate a problem-solving mindset to address business challenges with adaptive, scalable, and impactful ML solutions.
Develop applied ML proficiency
Enable learners to apply core machine learning algorithms (prediction, classification, clustering) to real-world data using Python.
Tools covered
Outcomes
- Strengthen Python programming capabilities specifically tailored to machine learning and data science workflows.
- Participants become adept at analyzing large and unstructured datasets, identifying patterns, and making data-driven decisions.
- Learners gain the technical skills and practical experience required to build and deploy ML-based solutions in production environments.
Resources
Frequently Asked Questions
Python is highly recommended for ML due to its simplicity, readability, and vast libraries...
Prior experience in computer programming is recommended as most tasks within this Specialization are conducted using the Python programming language...
StackRoute’s Advanced Machine Learning Program offers a comprehensive, industry-aligned curriculum designed to deepen your expertise in cutting-edge data science and machine learning techniques. With a flexible part-time format, it empowers working professionals to upskill without disrupting their current commitments.
A foundational understanding of computer programming is recommended, as most activities in this specialization are conducted using the Python programming language for hands-on implementation and problem-solving.
Python is highly recommended for machine learning due to its simplicity, readability, and an extensive ecosystem of libraries and frameworks such as TensorFlow, scikit-learn, PyTorch, and pandas. These tools accelerate development, enhance productivity, and support end-to-end implementation of machine learning models with ease.
A solid grasp of basic Python—including syntax, data types, and control structures—is essential for success in machine learning. In addition, familiarity with libraries such as NumPy for numerical operations and Pandas for data manipulation is crucial, as they form the foundation for efficient data preprocessing and analysis in real-world ML workflows.
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