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ABOUT ARTIFICIAL INTELLIGENCE


Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Examples of AI applications include expert systems, natural language processing (NLP), speech recognition and machine vision.

As the hype around AI has accelerated, vendors have scrambled to promote how their products and services incorporate it. Often, what they refer to as "AI" is a well-established technology such as machine learning.

AI requires specialized hardware and software for writing and training machine learning algorithms. No single programming language is used exclusively in AI, but Python, R, Java, C++ and Julia are all popular languages among AI developers.

The major modules covered in Artificial Intelligence are:

  • Introduction and Basic Concepts
  • Linear Algebra Continued
  • Probability and Statistics
  • Calculus
  • Advanced Calculus and Optimization
  • Graph Theory and Combinatorics
  • Information Theory and Advanced Topics

  • Introduction and Environment Setup
  • Advanced Python Programming
  • Python Libraries for Data Science
  • Python for Machine Learning
  • Introduction to R Programming
  • Advanced R Programming
  • R for Statistical Analysis
  • R for Machine Learning
  • Integration of Python and R

  • Introduction to Java
  • Object-Oriented Programming in Java
  • Advanced OOP Concepts
  • Java Collections Framework
  • Java Streams and File I/O
  • Multi-threading and Concurrency
  • Java GUI Development
  • Java Networking
  • Databases and JDBC
  • Advanced Topics

  • Introduction to Data Analytics
  • Data Preparation and Cleaning
  • Exploratory Data Analysis (EDA)
  • Data Visualization
  • Statistical Analysis
  • Time Series Analysis
  • Big Data Analytics

  • Introduction to Artificial Intelligence
  • Problem-Solving and Search Techniques
  • Knowledge Representation and Reasoning
  • Advanced Machine Learning
  • Machine Learning Continued
  • Neural Networks and Deep Learning
  • Natural Language Processing (NLP)
  • Robotics and Perception
  • Ethics and Future of AI

  • Introduction to Deep Neural Networks
  • Training Neural Networks
  • Deep Neural Network Architectures
  • Convolution Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Generative Models
  • Advanced Deep Learning Techniques
  • Practical Applications and Case Studies
  • Model Deployment and Scalability
  • Ethical Considerations and Future Trends

  • Introduction to NLP and Computer Vision
  • Text Processing in NLP
  • NLP Models and Techniques
  • NLP Applications
  • Introduction to Computer Vision
  • Feature Detection and Extraction
  • Deep Learning for Computer Vision
  • Object Detection and Recognition
  • Combining NLP and Computer Vision
  • Advanced Topics and Research Trends

  • Introduction to AI Compute Platforms
  • Cloud-Based AI Platforms
  • Cloud-Based AI Platforms Continued
  • Edge AI and On-Premises AI
  • AI Hardware Accelerators
  • AI Software Frameworks
  • AI Applications in Industry
  • AI Applications in Industry Continued
  • Emerging Trends in AI
  • Advanced Topics in AI

  • Project Planning
  • Implementation
  • Testing and Deployment

Highlights of ARTIFICIAL INTELLIGENCE Courses:

  • Well established courses with excellent placement Assistance.
  • 13-weeks (approx) full-time courses with 300 hours' theory + lab + project.
  • 4 hours per day theory + lab sessions on 6 days a week.
  • Continuous lab and internal assessments during the course.
  • Courses designed and developed in consultation with the domain experts in Orlando Academy, academia and ICT industry.
  • Expert faculty from Orlando Academy and ICT industry with widespread domain knowledge.
  • Tutorials, hands-on and projects relevant to the standards of the ICT industry.
  • Special training on aptitude, effective communication and interview skills.

Eligibility:
  • Graduate in Engineering (10+2+4 or 10+3+3 years) in any discipline of Engineering.
  • BSc, MSc / MS (10+2+3 years) in Computer Science, IT, Electronics with Mathematics in 10+2.
  • BCA, MCA, MCM
  • Post Graduate Degree in Physics / Mathematics / Statistics
  • Post Graduate Degree in Management with graduation in IT / Computer Science / Computer Applications
  • B.com+(Computer) Or M.Com
  • BBA Or MBA

  • NOTE:The candidates must have secured a minimum of 50% marks in their qualifying examination as per the norms of the university from where the candidate has graduated.

Why Should a Student or Professional Learn Artificial intelligence?

Career Opportunities:- AI expertise leads to a wide range of roles such as AI engineer, machine learning specialist, data scientist, and AI researcher, offering diverse career paths

Data-Driven Decisions:- AI enables the analysis of large datasets to uncover patterns, trends, and insights, leading to more informed and strategic decision-making

Technological Advancements:- As AI continues to evolve and integrate into various aspects of technology, staying updated with AI trends and techniques ensures relevance in the job market.

Tool Proficiency:- Learning AI involves becoming proficient with various tools and technologies such as Tensor Flow, PyTorch, and scikit-learn, which are valuable in multiple contexts.

Emerging Technologies:- AI is closely linked with other emerging technologies like machine learning (ML), deep learning, and the Internet of Things (IoT). Learning AI provides a strong foundation for exploring these advanced fields

Learning AI is essential for students and professionals aiming to thrive in today’s technology-driven world. It not only offers diverse and lucrative career opportunities but also plays a critical role in driving innovation, enhancing decision-making, and solving complex problems. As AI continues to advance and permeate various industries, the importance of AI expertise will only grow, making it a wise investment for personal and professional development.

Join Us:

For admissions related queries, our expert will help you to build a career path for you.

OUR PLACEMENTS

I feel the presence of the Almighty, who formed us in his own image, and the breath.

YOGESH HOLPADE

PG-DAC September 2022
CDAC
PUNE
Pakage: 7.1 LPA

PREMKUMAR SAWANT

PG-DAC September 2022
Thinkbridge Software Pvt Ltd
PUNE
Pakage: 6 LPA

MOHD ADIL

PG-DAC September 2022
SeamEx - Aditya Birla Group
MUMBAI
Pakage: 8 LPA

SAGAR POTDAR

PG-DAC September 2022
Wolters Kluwer
PUNE
Pakage: 7.5 LPA

MRUNAL NIKUMBE

PG-DAC September 2022
Axis Bank
MUMBAI
Pakage: 6.45 LPA

SHRADDHA RANGARI

PG-DAC September 2022
Softusvista Inc.
PUNE
Pakage: 6 LPA

HANUMANT AWACHAR

PG-DAC September 2022
Infibeam Avenues
VADODARA
Pakage: 7.7 LPA

AJINKYA GHATGE

PG-DAC September 2022
Cumulus Systems QA
PUNE
Pakage: 7 LPA



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