Master Skill Certificate Program in
AI-Machine Learning Engineer
Our AI-Machine Learning Engineer skill course aim to accelerate your Artificial Intelligence and Machine Learning Engineer career by making you a proficient in this domain though Govt. of India approved international standard skill course curriculum. Through this course, you will learn and gain in-depth skills in Statistics and Algorithms, Python, Java, R, Machine Learning Frameworks and Libraries such as Numpy, Panda, Scipy, Scikit-Learn, TensorFlow, Data Structures, Data Sets and Design Models and implement ML Algorithms and Train, Test, Retrain ML Model and tune and test results to optimize performance, IDEs, Frameworks and Libraries Besides, you will gain hands on experience working on real time exercises, assignments, projects and On the Job Training that will make you to become industry ready and a certified AI-Machine Learning Engineer.
Learning Mode
Offline | Live Online Hybrid | Blended Mode of Learning
Course Duration
450+ Hours 100% Hands-On Practice and Experiential Learning
Skill Certification
Nationally & Internationally Industry Recognized Govt. Skill Certificate
Credits Points
15 Credits Points eligible for Higher and Continuous Education
Placement Assist.
100% Placement Assistance and Career Guidance
Employability Skills
English, Employability and Life Skills for Job Placement & Career
Job Role Description
An AI-Machine Learning Engineer is responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest developments in the field. They work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. Their goal is to build efficient self-learning applications and contribute to advancements in artificial intelligence. AI-Machine Learning Engineer must have a deep and strong programming, analytical, problem solving and technical background, communication skills and coordination skills to work with stakeholders across multiple teams and client.
AI-Machine Learning Engineer Skill Course Overview
Our AI-Machine Learning Engineer skill course aim to accelerate your Artificial Intelligence and Machine Learning Engineer career by making you a proficient in this domain though Govt. of India approved international standard skill course curriculum. Through this course, you will learn and gain in-depth skills in Statistics and Algorithms, Python, Java, R, Machine Learning Frameworks and Libraries such as Numpy, Panda, Scipy, Scikit-Learn, TensorFlow, Data Structures, Data Sets and Design Models and implement ML Algorithms and Train, Test, Retrain ML Model and tune and test results to optimize performance, IDEs, Frameworks and Libraries Besides, you will gain hands on experience working on real time exercises, assignments, projects and On the Job Training that will make you to become industry ready and a certified AI-Machine Learning Engineer.
Why join in AI-Machine Learning Engineer Skill Course ?
Hottest job of the 21st Century & Growing Industry
Europe showcases a healthy growth rate in the global Machine Learning (ML) market & is projected to grow at a CAGR of 35.0% during the forecast period. The global market is projected to grow from USD 19.20 billion in 2022 to USD 225.91 billion by 2030
Future & Career Scope
AI-Machine Learning is one of the more popular career offers and opportunities to grow. Machine Learning is a budding field in this era. Hence, a head start will prove to be beneficial
Increasing Jobs & High Demands
Future Skills or Emerging Tech Jobs demands is projected about 300 -800 million by 2031 across the world in various domains such as AI, ML, Big Data, Cloud Computing, IoT and etc.
Avg. 60% Salary Hike & High Transition Rates
Compare to other field, the salary hike is very high and IT and Non IT workforces transit from their existing job roles.
Who is this skill course for ?
Fresher and Students
All IT & Non IT aspirant Fresher and Students looking to start an Artificial Intelligence, Machine Learning and Data Analytics based career path
Associate, Mid, Senior level Professionals
Looking to Up-skill up-to-date with the skills needed for success in the digital world and move to next level role without quitting the job
Career Transition
IT-Non IT Professionals who wish to transition to a high-growth Artificial Intelligence, Machine Learning domain and its associated Data Analytics career with industry-ready skills
Why learn AI-Machine Learning Engineer Skill Course from NR TECHNOLOGIES ?
Mode of Training
Classroom
Live Online
Hybrid & Blended
Mode of Training & Learning
Course Duration & Credit Points
450+ Hours, 15 Credit Points
Skill Training Course :
Instructor-Led Live Demo +
Hands-On Practice + Projects + OJT
Job-Ready Course Curriculum
Multi-skills in One Pack,
Industry-ready curated & aligned Course Curriculum & approved by Govt.
100% Hands-On Practice
Fully Live Demo and Hands
On-Practices, Exercises by Industry Expert Trainers & Mentors
Real Time Projects Experiential Learning & OJT
Real Time Projects guidance by Industry Experts & Mentors and
On the Job Training [OJT]
English, Employability &
Soft Skills
Technical & Professional English Communication Training and
Professional, Leadership, Problem Solving Skills and Entrepreneurship & Life Skills etc. embedded skill
Mock Interview &
Skill Enhancement
1 : 1 Mock Interview
Preparation., Review and Skill Enhancement by Industry Experts & Mentors
Placement & Career Assistance
100% Placement | Hiring Arrangements & Assist.
Career Guidance & Profile Building Assist.
Expert Trainers & Mentors
Learn from Industry experienced Trainers and Mentors
Internationally Recognized Govt. Skill Certification
Nationally and Internationally
Industry Recognized Govt. Skill Competency Certification
Credits Transfer Eligibility
Credit Points Transfer Eligibility Skill Course for Higher Education &
Life Long Continuous Education
Nominal Course Fee & Dedicated Portal Access
Nominal Course Fee &
2000+ Hiring Partners and Govt. & Sector Job Portal Access for National & International Placement
AI-Machine Learning Engineer Training Curriculum - Skills and Technologies Covered
- AI-ML Application Introduction
- Statistics and Different Techniques
- Programming in Python | Java | R
- NumPy, Pandas, SciKit-Learn etc
- TensorFlow | Keras, Spark, KNIME etc
- MySQL, SPSS, Excel etc
- Product Enginnering
- Developmental Tools and Usage
- Data Structures
- Supervised and Unsupervised Learning Algorithms
- Deep Learning
- Neural Networks
- Performance Evaluation and Algorithmic Models
- Models Data Flow Diagram Development
- Evaluate Run Time and Memory Requirements using Notations
- Testing and Debugging of Models
- Keras, Apache Spark
- Analyze Performance Indicators Algorithmic Models
- Design Models and ML Algorithms Implementation
- Automation Testing Frameworks
- IDEs-Visual Studio | Jupyter | R Studio etc.
- On the Job Training ( OJT ) | Internship
- Projects and Exercises
- English Communication Training
- MNC Mock Interview Preparation
- Employability and Soft Skills
Software Tools and Frameworks covered
Disclaimer: NR TECHNOLOGIES reserves the right to modify, amend or change the structure of module & the curriculum, as per govt. guidelines and industry requirements
What role can a AI-Machine Learning Engineer Professional play?
- AI-Enginner
- AI-Developer
- AI-Machine Learning Engineer
- Data Mining and Analyst
- AI-ML Expert
- Ai-ML Data Scientist
- AI-ML Developer
- Business Intelligence Analyst
- Robotic Engineer
- AI-IoT Engineer
- Generative AI-ML Ops Engineer
- Cloud AI-Engineer
- AI-Platform Engineer
- Deep Learning Engineer
- Computer Vision Engineer
- Statistician
- NLP Engineer
- AI-Ml Software Enginner
- Data Analyst
- AI-ML Associate
- Freelance AI-ML Engineer | Developer
- Trainer / Lecturer
Who can enroll in AI-Machine Learning Engineer Course ?
- Fresher–Undergraduates ( Engineering / Non Engineering – Any Dept. )
- Pursuing Undergraduates - 1st / 2nd /3rd / 4th Year ( Engineering / Non Engineering – Any Dept. )
- Fresher Diploma (any Dept.)
- Pursuing Diploma - 2nd /3rd Year (any Dept. )
- Non-IT Professionals in any sector - Experienced or Inexperienced
- Non-IT Professionals in sectors such as HR, banking, marketing, and sales, etc.
- Data Analyst who have a keen interest in up-skilling
- IT and Non IT professionals looking to make a career transition as Machine Learning Engineers and Artificial Intelligence Engineers
- Software Developer, Project Managers, Non-Technical Professionals & Entry-level
Placement Skill Training Program Process Flow
1. Apply
Online | Offline
Fill and apply to the course with applicant required details
2. Orientation & Counselling
Review your application then orient, counsel & finalize the right domain skills and career path
3. Enrollment & Skill Training
Enroll candidate selected skill course(s) and pay the course fee and proceed training & Project(s)
4. Skill Certification
Assess candidate skills and distribute internationally recognized industry valid govt. Skill Certificate
5. Job Placement
Finally the trained candidates will be placed in high paying jobs
Upcoming Batch Schedule
| Training Start Date | Mode of Training | Batch Mode | Training Conduction Time Schedule | Batch Time & Duration | Course Fee Offer | Last Date to register avail Fee Offer | Are you interested to Join? |
|---|---|---|---|---|---|---|---|
|
20 Jan 2025 |
Class Room |
Weekdays (Mon – Fri) Weekend (Sat-Sun) |
07.00 AM – 10.00 PM Learners’ can choose any 1.5 Hrs to 2 Hrs batch track |
1.5 Hours Session/Day |
50% |
19 Jan 2025 |
|
|
20 Jan 2025 |
Live Online |
Weekdays (Mon – Fri) Weekend (Sat – Sun) |
As per Learners’ convenient time schedule |
1.5 Hours Session/Day |
50% |
19 Jan 2025 |
|
|
20 Jan 2025 |
Hybrid |
Live Online -Weekdays Weekend Offline- Practical & Doubt Resolution Sessions ( As per requirement-Weekend or Weekdays |
As per Learners’ convenient time schedule |
1.5 Hours Session/Day |
50% |
19 Jan 2025 |