Description
Course Name: Advanced Diploma in Data Science & Artificial Intelligence
Course Id: ADDSAI/Q1001.
Eligibility: Higher Secondary(10+2).
Objective: This course is ideal for anyone looking to enter or advance in the rapidly growing fields of data science and artificial intelligence, where demand for skilled professionals is high.
Duration: 370 Hrs (Equivalent to One Year).
Total Credits: 18.
How You will Get Diploma Certificate:
Step 1- Select your Course for Certification.
Step 2- Click on Enroll Now.
Step 3- Proceed to Enroll Now.
Step 4- Fill Your Billing Details and Proceed to Pay.
Step 5- You Will be Redirected to Payment Gateway, Pay Course and Exam Fee by Following Options.
Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.
Step 6- After Payment You will get Study Material Login id and Password on your email id.
Step 7- After Completion of Course Study give Online Examination.
Step 8- After Online Examination you will get Diploma Certificate soft copy(Scan Copy) and Hard Copy(Original With Seal and Sign).
Step 9- After Certification you will receive Prospect Job Opportunities as per your Interest Area.
Online Examination Detail:
- Duration- 120 minutes.
- No. of Questions- 60. (Multiple Choice Questions).
- 10 Questions from each module, each carry 10 marks.
- Maximum Marks- 600, Passing Marks- 40%.
- There is no negative marking in this module.
| How Students will be Graded: | ||
| S.No. | Marks | Grade |
| 1 | 91-100 | O (Outstanding) |
| 2 | 81-90 | A+ (Excellent) |
| 3 | 71-80 | A (Very Good) |
| 4 | 61-70 | B (Good) |
| 5 | 51-60 | C (Average) |
| 6 | 41-50 | P (Pass) |
| 7 | 0-40 | F (Fail) |
Benefits of Certification:
- Government Authorized Assessment Agency Certification.
- Certificate Valid for Lifetime.
- Lifetime Verification of Certificate.
- Free Job Assistance as per your Interest Area.
Syllabus
Introduction to Programming: Structure of C programming, function as building blocks, character set, constants and variables, c tokens, keywords, identifiers, data types, comments.
Statistics Essential for Data Science: Introduction to nosql, distributing data storage and processing with frameworks, text mining in the real world, text mining techniques, data visualization options, crossfilter, the JavaScript map reduce library, Linux installation.
R Programming for Data Science: Benefits and uses of data science and big data, facets of data, the big data ecosystem and data science, overview of the data science process, the modeling process, general techniques for handling large volumes of data, choosing the right algorithm.
Data Science with R: Introduction, the data frame data structure, hypothesis testing, training, validation and test, basic definitions in graphs, social networks analysis, page rank.
Data Science with Python: Difference between data science and machine learning, steps in learning data science and machine learning, environment setup, writing your first program, python variables and data types, python operators, conditional statements, iteration statements, functions, objects and classes, data science and machine learning libraries. advantages of numpy library, data visualization via matplotlib.
Machine Learning: Introduction, structuring features according to type, visualizing data, training and test loss, tradeoffs in statistical learning, modeling data, risk and loss in unsupervised learning, clustering via mixture models, hierarchical clustering.
Job Opportunities after completion of Advanced Diploma in Data Science & Artificial Intelligence course:
Graduates of the Advanced Diploma in Data Science & Artificial Intelligence are equipped with skills in machine learning, data analytics, programming, deep learning, and AI technologies. These professionals are in high demand across industries such as IT, healthcare, finance, e-commerce, and more.
Career Options and Salary Range
1. Data Scientist
- Role: Analyze large datasets, build predictive models, and provide actionable insights.
- Salary: ₹8–₹12 LPA for entry-level; experienced professionals earn ₹15–₹25 LPA.
2. Machine Learning Engineer
- Role: Develop and deploy machine learning algorithms and models.
- Salary: ₹8–₹14 LPA; senior roles earn ₹18–₹30 LPA.
3. AI Engineer
- Role: Build AI-based applications, including natural language processing, computer vision, and robotics.
- Salary: ₹8–₹15 LPA; experienced engineers earn ₹20–₹35 LPA.
4. Data Analyst
- Role: Perform data analysis, visualization, and reporting to support business decisions.
- Salary: ₹4–₹8 LPA for freshers; experienced analysts earn ₹10–₹15 LPA.
5. Big Data Engineer
- Role: Manage large-scale data pipelines and build big data solutions.
- Salary: ₹8–₹16 LPA; senior engineers earn ₹20–₹30 LPA.
6. Business Intelligence Analyst
- Role: Analyze business trends, create dashboards, and provide strategic insights.
- Salary: ₹6–₹12 LPA; experienced roles earn ₹15–₹20 LPA.
7. AI Research Scientist
- Role: Conduct research on advanced AI algorithms and develop cutting-edge solutions.
- Salary: ₹10–₹20 LPA; senior researchers earn ₹25–₹40 LPA.
8. Natural Language Processing (NLP) Specialist
- Role: Work on language-based AI applications like chatbots, voice assistants, and translation systems.
- Salary: ₹8–₹15 LPA; experienced specialists earn ₹20–₹30 LPA.
9. Computer Vision Engineer
- Role: Develop image and video processing applications, including facial recognition and object detection.
- Salary: ₹8–₹15 LPA; senior roles earn ₹20–₹35 LPA.
10. AI Product Manager
- Role: Oversee AI-based product development and manage cross-functional teams.
- Salary: ₹12–₹20 LPA; experienced product managers earn ₹25–₹40 LPA.
11. Data Engineer
- Role: Build and maintain data pipelines and architecture for analytics.
- Salary: ₹6–₹12 LPA for entry-level; experienced engineers earn ₹15–₹25 LPA.
12. Deep Learning Specialist
- Role: Develop neural networks and deep learning models for complex AI solutions.
- Salary: ₹10–₹18 LPA; senior specialists earn ₹20–₹35 LPA.
13. AI Consultant
- Role: Provide strategic advice on AI integration and implementation for businesses.
- Salary: ₹12–₹20 LPA; senior consultants earn ₹25–₹40 LPA.
14. E-commerce Data Specialist
- Role: Optimize e-commerce operations using AI and data analytics.
- Salary: ₹6–₹12 LPA; experienced professionals earn ₹15–₹20 LPA.
15. Robotics Engineer
- Role: Design and develop AI-powered robotic systems for automation.
- Salary: ₹8–₹15 LPA; experienced engineers earn ₹20–₹30 LPA.
Salary Growth Overview
- Entry-level: ₹6–₹12 LPA
- Mid-level: ₹12–₹20 LPA
- Senior-level: ₹20–₹40+ LPA
Top-paying industries include IT, finance, healthcare, e-commerce, and research. High-demand roles like AI engineers, data scientists, and AI consultants offer faster career growth and competitive salaries.
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