Advanced Diploma in AI and Machine Learning

Description

Course Name: Advanced Diploma in AI and Machine Learning
Course Id: ADAIML/Q1001.

Eligibility: 10+2 (Higher Secondary).

Objective: To provide an in-depth understanding of AI and ML concepts, tools, and techniques, enabling students to develop intelligent systems and solve complex real-world problems.

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 AI and Machine Learning: Introduction, properties of search algorithms, constructing search trees, classification of machine learning, types of supervised machine learning algorithms, regression analysis in machine learning, types of regression, types of linear regression, clustering algorithms, applications of clustering, types of reinforcement learning.

Mathematical Foundations: Introduction, set rules % set combinations, relations, functions, properties of numeric functions, recurrence relation for discrete numeric functions, common recurrences from algorithms, method for solving recurrences, propositional logic, natural deduction method, variables and quantifiers, definition of regular expression.

Natural Language Processing (NLP): Technology for accessing info, information retrieval, information extraction, automatic summarization, speech technologies, human and machine intelligence, language communication technology, computational linguistics, statistical approaches, basic IR models.

Neural Networks and Deep Learning: The architecture of neural networks, implementing our network to classify digits, the cross- entropy cost function, weight initialization, many input variables, convolutional neural networks in practice, recent progress in image recognition.

Programming for AI: Introduction- AI for everyone, unlocking your future in AI, python Programming, data literacy-data collection to data analysis, machine learning algorithms, leveraging linguistics and computer science, AI ethics and values.

Supervised Learning: Introduction, the regression problem and linear regression, the classification problem and three parametric classifiers, non- parametric methods for regression and classification, ensemble methods, neural networks and deep learning.

Job Opportunities after completion of Advanced Diploma in AI and Machine Learning course:

Graduates of the Advanced Diploma in AI and Machine Learning (Artificial Intelligence and Machine Learning) program have a wide range of career options due to the rapid growth of AI technologies in India and globally. With industries like technology, finance, healthcare, manufacturing, and e-commerce increasingly relying on AI, the demand for skilled professionals in this field is high.

Here’s an overview of the career options and salary ranges for graduates of this program in India:

1. AI/Machine Learning Engineer

• Role: AI/Machine Learning Engineers design, develop, and implement machine learning models and algorithms to solve complex business problems. They work with large datasets, train models, and evaluate their performance to make data-driven predictions.
• Skills Required: Knowledge of Python, R, TensorFlow, PyTorch, natural language processing (NLP), data science, and deep learning.
• Salary:
  • Entry-level: ₹6–₹10 LPA
  • Mid-level: ₹10–₹18 LPA
  • Senior-level: ₹18–₹30 LPA or higher (for highly experienced professionals or those with expertise in niche areas like NLP, computer vision, or reinforcement learning)

2. Data Scientist

• Role: Data scientists leverage machine learning and statistical models to analyze large datasets and provide actionable insights. They use AI techniques to automate and improve data-driven decision-making.
• Skills Required: Machine learning, statistical analysis, Python, R, SQL, big data technologies (Hadoop, Spark), and data visualization tools.
• Salary:
  • Entry-level: ₹6–₹12 LPA
  • Mid-level: ₹12–₹20 LPA
  • Senior-level: ₹20–₹35 LPA (senior data scientists or those in managerial roles can earn higher)

3. AI Research Scientist

• Role: AI Research Scientists focus on advancing the theoretical foundations of AI, developing new algorithms, and improving existing AI models. They may work in academic research or corporate R&D departments.
• Skills Required: Deep understanding of AI theory, machine learning algorithms, mathematics, and strong programming skills in Python, Java, or C++.
• Salary:
  • Entry-level: ₹8–₹12 LPA
  • Mid-level: ₹12–₹25 LPA
  • Senior-level: ₹25–₹50 LPA or more (especially in tech giants like Google, Microsoft, or research institutions)

4. Data Engineer

• Role: Data Engineers focus on preparing and optimizing data for machine learning models. They build and maintain data pipelines and work with large databases to ensure data is clean and accessible for analysis.
• Skills Required: Big data technologies, SQL, ETL processes, cloud platforms (AWS, Azure, GCP), Python, and data warehousing tools.
• Salary:
  • Entry-level: ₹6–₹10 LPA
  • Mid-level: ₹10–₹18 LPA
  • Senior-level: ₹18–₹30 LPA (for senior or lead positions)

5. AI Software Developer

• Role: AI Software Developers create software applications powered by artificial intelligence. This includes building intelligent apps, integrating AI systems, and ensuring AI models work seamlessly within business systems.
• Skills Required: Strong programming knowledge (Python, Java, C++), AI frameworks, problem-solving skills, and familiarity with cloud services and databases.
• Salary:
  • Entry-level: ₹6–₹10 LPA
  • Mid-level: ₹10–₹18 LPA
  • Senior-level: ₹18–₹30 LPA (depending on project size, company, and expertise)

6. NLP Engineer

• Role: Natural Language Processing (NLP) Engineers specialize in developing systems that allow computers to understand, interpret, and generate human language. They work on chatbots, voice assistants, and other AI applications that require language understanding.
• Skills Required: NLP, machine learning, Python, deep learning frameworks, knowledge of linguistics, and libraries like NLTK, spaCy, or Hugging Face.
• Salary:
  • Entry-level: ₹6–₹12 LPA
  • Mid-level: ₹12–₹20 LPA
  • Senior-level: ₹20–₹35 LPA or higher (especially in AI-focused companies)

7. Computer Vision Engineer

• Role: Computer Vision Engineers design algorithms that allow machines to interpret and understand visual information from the world, such as in facial recognition, object detection, or autonomous vehicles.
• Skills Required: Image processing, deep learning, Python, TensorFlow, OpenCV, and knowledge of convolutional neural networks (CNNs).
• Salary:
  • Entry-level: ₹8–₹12 LPA
  • Mid-level: ₹12–₹20 LPA
  • Senior-level: ₹20–₹40 LPA (for highly skilled professionals with experience in cutting-edge technologies)

8. AI Consultant

• Role: AI Consultants advise businesses on implementing AI technologies to improve operations, automate processes, and drive innovation. They help companies understand how AI can benefit them and provide tailored solutions.
• Skills Required: Deep understanding of AI technologies, business acumen, communication skills, and knowledge of industry-specific applications of AI.
• Salary:
  • Entry-level: ₹8–₹12 LPA
  • Mid-level: ₹12–₹20 LPA
  • Senior-level: ₹20–₹40 LPA (for highly experienced consultants with multiple successful projects)

9. Business Intelligence Analyst

• Role: Business Intelligence Analysts use AI and machine learning to analyze business data and provide strategic insights. They help companies make data-driven decisions to improve profitability and business efficiency.
• Skills Required: Data analysis, machine learning, business analytics, Python, SQL, data visualization tools like Tableau or Power BI.
• Salary:
  • Entry-level: ₹5–₹8 LPA
  • Mid-level: ₹8–₹15 LPA
  • Senior-level: ₹15–₹25 LPA

10. AI Product Manager

• Role: AI Product Managers oversee the development and deployment of AI-powered products. They work closely with engineering, data science, and marketing teams to ensure the product meets user needs and performs effectively.
• Skills Required: Product management, knowledge of AI technologies, strong communication and leadership skills, project management tools.
• Salary:
  • Entry-level: ₹10–₹15 LPA
  • Mid-level: ₹15–₹25 LPA
  • Senior-level: ₹25–₹40 LPA (for experienced product managers at leading AI companies)

11. AI/ML Trainer or Educator

• Role: AI/ML Trainers develop and teach educational programs in AI and machine learning, providing training to students, professionals, or corporate teams.
• Skills Required: Expertise in AI/ML, teaching skills, knowledge of training platforms, and experience in curriculum development.
• Salary:
  • Entry-level: ₹6–₹10 LPA
  • Mid-level: ₹10–₹18 LPA
  • Senior-level: ₹18–₹30 LPA (for well-known trainers or those running successful educational programs)

Salary Overview

• Entry-level: ₹6–₹12 LPA (for fresh graduates or those with limited experience)
• Mid-level: ₹12–₹20 LPA (for professionals with 3-5 years of experience)
• Senior-level: ₹20–₹40 LPA or more (for those with advanced skills, niche expertise, or leadership roles)

Industry Growth and Job Outlook

India is a growing hub for AI and machine learning technologies, with significant investments being made in AI-driven solutions across sectors such as healthcare, finance, automotive, e-commerce, and education. As companies adopt AI for automation and innovation, the demand for skilled professionals in AI/ML is projected to increase.

The salary potential for AI and machine learning professionals is also growing due to the demand for expertise in this rapidly evolving field, and professionals with specialized skills in deep learning, natural language processing, computer vision, and reinforcement learning are especially sought after.

Conclusion

Graduates of the Advanced Diploma in AI and Machine Learning program can pursue various high-paying roles across industries. The rapid advancement in AI technologies is driving a surge in job opportunities and career growth in the AI and machine learning space. By acquiring expertise in machine learning algorithms, data processing, and artificial intelligence applications, graduates are well-positioned for a rewarding career in one of the most dynamic fields of technology today.