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Alpha Technical College
25 Years of expertisation
(100% placement Records since 2006 onwards )

Learn Artificial Intelligence with industrial expert
Special Features:-
  • Regular online /offline classes Available Well compiled and Compact Module(notes) would be Provided .
  • Qualified and industrial experienced Faculty
  • New Ugc Pattern Course in Semester wise.
  • classes held in two shift wise !0 A.M.To 2 P.M and 2 P.M To 6 P.M
  • Courses are approved by Ugc Recognised State Private University or Govt. University from Delhi NCR
  • College Bag+ study Material+ Note Book Free
  • Full-time Web-Designer software Engineering course length is for 15-month years divided into 4 semesters.
  • Students can apply after completing 10+2 from any recognized board.
  • Regular exams will be taken with practical works
Fee Structure:-
  • Total Course Fee:21500(Twenty One Thousands five hundreds only)
  • Semester:5375P/s
  • Monthly:1450x15(Installment)
About Advanced Diploma in Artificial Intelligence

an Advanced Diploma in Artificial Intelligence (AI) is a specialized program that provides in-depth knowledge and skills in the field of AI. It is designed to give students a comprehensive understanding of various AI concepts, algorithms, tools, and applications. These diplomas are typically offered by universities, colleges, or specialized institutions as a postgraduate-level qualification.

The curriculum of an Advanced Diploma in AI may cover a wide range of topics, including:-
  • Machine Learning:Supervised learning, unsupervised learning, reinforcement learning, deep learning, etc.
  • Natural Language Processing (NLP):echniques for processing and understanding human language.
  • Computer Vision:Image and video analysis, object recognition, etc.
  • Data Science and Analytics: Data preprocessing, feature engineering, data visualization, etc.
  • AI Ethics and Governance: Addressing ethical concerns related to AI technology and its responsible use.
  • AI in Business: How AI can be applied to solve real-world business problems and enhance processes.
  • AI Development Tools and Frameworks: Working with popular AI libraries and platforms like TensorFlow, PyTorch, etc.
  • AI Project Management: Managing AI projects from inception to deployment.
Why join AI courses ?

Joining AI courses can be highly beneficial for several reasons:-

  • In-Demand Skills:AI is a rapidly growing field, and there is a significant demand for professionals with AI expertise. By enrolling in AI courses, you can acquire skills that are highly sought after by employers in various industries.
  • Career Opportunities:AI is being integrated into numerous sectors, including healthcare, finance, marketing, manufacturing, and more. Completing AI courses can open up diverse career opportunities and increase your employability.
  • Stay Updated:AI is an ever-evolving field, with new technologies and advancements emerging regularly. AI courses help you stay updated with the latest trends and best practices, ensuring you remain competitive in the job market.
  • Hands-On Experience: Many AI courses include practical projects and hands-on exercises. This practical experience is invaluable in understanding how AI algorithms work and how to apply them to real-world problems.
  • Interdisciplinary Learning: AI combines knowledge from various disciplines, such as computer science, mathematics, and data science. AI courses provide you with a well-rounded education, making you proficient in multiple areas.
  • Solve Complex Problems: AI techniques can tackle complex problems that are challenging or time-consuming for humans to solve. AI courses teach you how to develop AI solutions to address these issues effectively.
  • Entrepreneurial Opportunities: If you aspire to start your own business, AI can offer various entrepreneurial opportunities. AI courses can help you gain the skills needed to create AI-driven products or services. .
  • Contribute to Society: AI has the potential to bring about significant positive changes in society, such as in healthcare, environmental protection, and social welfare. By learning AI, you can contribute to these advancements. .
  • Understanding AI's Impact: AI is becoming increasingly prevalent in our daily lives. By taking AI courses, you can better understand how AI technologies work, their limitations, and their ethical implications. .
  • Career Advancement: For professionals already working in related fields, AI courses can lead to career advancement and higher-paying roles within their organizations. .
What is the highest Salary of AI ?

The salary for professionals working in the field of AI can vary significantly based on factors such as job role, experience level, location, and industry. AI-related job roles include AI researchers, machine learning engineers, data scientists, AI consultants, and more.

Complete Syllabus of Advance Diploma in Artificial Intelligence

Module-1 Introduction to AI and
Programming Tools

Linux basics
Python Basics Data Types,
Conditional Statements,
Looping, Control
Statements, String, List
And Dictionary
Manipulations, Python
Functions, Modules And
Packages, Object Oriented
Programming in Python,
Regular Expressions,
Exception Handling,
Popular python packages
like pandas for data handling
Introduction to Database
Management System &
SQL, Database Interaction in Python.
Data Analysis & visualization – using
numpy, matplotlib, scipy
R Programming:- Basics -
Vectors, Factors, Lists,
Matrices, Arrays, Data
Frames, Reading data.
Data visualization - barplot
pie, scatterplot, histogram,
scatter matrix
Probability and
Mean, Median, SD, Variance, Probability
distributions in R- Normal
distribution, Poisson
distribution, Binomial
distribution. Correlation
and Regression

Module 2- Machine Learning
Structured and unstructured
data handling Data Preprocessing
Handling missing data
Data Standardization
Label Encoding
One hot encoding
Supervised and Unsupervised Learning
Classification, Regression & Clustering
Linear Algebra
Machine Learning
Algorithms Linear Regression
KNN, K Means, Logistic Regression
Support Vector
Decision Tree
Naïve Bayes, etc. Ensemble Methods
- Random Forest, Boosting
and Optimization, etc.
Model Evaluation Metrics

Module -3 Deep Learning and Natural
Deep Learning Concepts Artificial Neural Network
Deep Neural Networks Convolutional Neural
etwork,Recurrent Neural,Network
OpenCV, Tensorflow,Keras
Introduction to Generative Adversarial
Natural Language Processing Methods
Basics of text processing Lexical processing
Syntax and Semantics, Parts of Speech,Tagging
Applications like Sentiment Analysis,
Text Classification,Text Summarization,
Document Clustering,Document Similarity,
Web Crawling etc.

Module-4 AI Platforms & Reinforcement Learning :-

After attending this module the participants
will be able to
  • use popular AI platforms to solve AI based problems
  • use reinforcement learning to solve AI related problems

Module-5 Project

After completion of the project
  • Participants will be able to formulate the right problems
    that can be solved using the data available at hand.
  • Design the solution
  • Implement it using
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