AI and Machine Learning – I M R SMART SOLUTION

AI & Machine Learning

Artificial Intelligence and Machine Learning (AIML) represents an important evolution in computer science and data processing that is quickly transforming a vast array of industries. Artificial Intelligence is the field of developing computers and robots that are capable of behaving in ways that both mimic and go beyond human capabilities. AI-enabled programs can analyze and contextualize data to provide information or automatically trigger actions without human interference. Machine learning is a pathway to artificial intelligence. This subcategory of AI uses algorithms to automatically learn insights and recognize patterns from data, applying that learning to make increasingly better decisions.

I M R Certification Program

AI & Machine Learning +

“Accelerate your career with this comprehensive AI and ML course that delivers a high-engagement learning experience”.

AI & Machine Learning Objectives

Foundational Knowledge: Provide a strong understanding of AI and machine learning fundamentals.
Hands-On Experience: Offer practical skills through real-world projects.
Stay Current: Keep participants updated on AI and ML trends and technologies.
Problem-Solving Skills: Teach how to solve complex problems with AI/ML techniques.
Certification and Career Advancement: Provide a recognized certification for career enhancement.

AI & Machine Learning +

“AI & ML program focuses on the strategic relevance of AI and ML in driving decision-making, and fostering innovation”.

AI & Machine Learning Benefits

Enhanced Career Prospects: Open up job opportunities and career advancement in AI and ML-related roles.
Practical Skills: Acquire hands-on experience and problem-solving abilities in AI and ML applications.
Credibility: Gain industry-recognized credentials to showcase expertise.
Networking: Build a professional network within the AI and ML community.
Continuous Learning: Stay up-to-date with evolving AI and ML technologies and practices.

Artificial Intelligence (AI) is a wide branch of computer science that is responsible for developing systems that can mimic human actions and allows machines to perform a varied range of business tasks that otherwise requires human involvement. Our goal is to help you master all the core concepts of both technologies, such as Deep Learning, regression techniques, Machine Learning algorithms, etc. Moreover, in these courses, you will work on numerous real-time, industry-based projects, which will enhance your learning experience and provide you with hands-on experience.

AI & Machine Learning Innovation

AI and Machine Learning innovation leads to the creation of smarter and more autonomous systems capable of handling complex tasks and decision-making with minimal human intervention.
This innovation fuels advancements in fields like healthcare diagnostics, autonomous vehicles, recommendation systems, and personalized user experiences, revolutionizing industries and improving quality of life.

AI & Machine Leraning Program Job Oppertunity

Machine Learning Engineer: Design, develop, and deploy machine learning models for various applications.
Data Scientist: Analyze large datasets, extract insights, and develop predictive models to inform business decisions.
AI Research Scientist: Conduct research to advance AI technologies, develop new algorithms, and contribute to cutting-edge innovations.
AI Solutions Architect: Design and implement AI solutions tailored to specific business needs and industries.
Natural Language Processing (NLP) Engineer: Work on language-related AI applications such as chatbots, sentiment analysis, and language translation.
Computer Vision Engineer: Develop AI systems for image and video analysis, including facial recognition, object detection, and autonomous vehicles.
AI Consultant: Offer expertise in AI strategy and implementation to businesses looking to leverage AI for competitive advantage.
Data Engineer: Build and maintain data pipelines and infrastructure to support AI and machine learning projects.
Business Intelligence Analyst: Use AI and ML to generate insights from data and support data-driven decision-making.
AI Ethics Specialist: Ensure AI systems and models adhere to ethical guidelines and address potential bias and fairness issues.
Robotics Engineer: Develop AI algorithms for controlling robots and automation systems.
Quantitative Analyst (Quant): Apply AI and ML techniques to financial modeling and risk analysis in the finance industry.
Healthcare Data Analyst: Analyze medical data to improve patient care, diagnosis, and treatment using AI and ML.
Cybersecurity Analyst: Utilize AI to detect and respond to cyber threats and vulnerabilities.
AI Product Manager: Lead the development of AI-based products and services from conception to deployment.

AI & MACHINE LEARNING @ CERTIFICATION

AI & MACHINE LEARNING @ BASIC CERTIFICATION

Duration– 3 Month (12 week with 120 Contact hours + 30 hours Project)
Eligibility – Minimum Qualification 10th Pass
Skill Required– Basic Computer Knowledge
Registration Fee – Rs. 600/-
Certification Fee – Rs. 15000 + GST

AI & MACHINE LEARNING COURSE MODULE

Module 1: Problem Solving Skills
Module 2: Data Science Toolkit
Module 3: Introduction to SQL
Module 4: Data Visualization
Module 5: Data Analysis & Statistics
Module 6: Machine Learning
Module 7: Project

AI & MACHINE LEARNING @ ADVANCE CERTIFICATION

Duration– 6 Month (24 week with 200 Contact hours + 30 hours Capstone Project)
Eligibility – Minimum Qualification +3 Degree (any Graduate)
Skill Required– Basic Computer Knowledge with Programming
Registration Fee – Rs. 600/-
Certification Fee – Rs. 60000 + GST (Discounted Price Rs. 45000+GST)

AI & MACHINE LEARNING COURSE MODULE

Module 1: Problem Solving Skills
Module 2: Data Science Toolkit
Module 3: Introduction to SQL
Module 4: Data Visualization
Module 5: Data Analysis & Statistics
Module 6: Machine Learning
Module 7: Advanced Machine Learning
Module 8: Natural Language Processing
Module 9: Deep Learning
Module 10: Reinforcement Learning
Module 11: Capstone Projec

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