Post Graduate Diploma in Artificial Intelligence is a specialized program designed to equip students with the knowledge and skills needed to work in the rapidly evolving field of artificial intelligence. This type of program typically targets individuals who already hold a bachelor’s degree in a relevant field and want to deepen their understanding of AI concepts, algorithms, and applications.

Artificial Intelligence (AI) is a transformative field of computer science that focuses on creating intelligent machines capable of performing tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, understanding natural language, and even interacting socially. The ultimate goal of AI is to develop systems that can replicate and surpass human cognitive abilities, opening up new possibilities across various industries and applications.

  1. Machine Learning:

    • Definition: Machine learning is a subset of AI that involves the development of algorithms and statistical models that enable computers to improve their performance on a task through experience or data.
    • Applications: Machine learning is widely used in predictive analytics, image and speech recognition, natural language processing, and recommendation systems.
  2. Deep Learning:

    • Definition: Deep learning is a specialized form of machine learning that involves neural networks with multiple layers (deep neural networks). It aims to simulate the human brain’s structure and function for more complex tasks.
    • Applications: Deep learning is instrumental in image and speech recognition, language translation, and playing strategic games.
  3. Natural Language Processing (NLP):

    • Definition: NLP focuses on the interaction between computers and humans using natural language. It enables machines to understand, interpret, and generate human language in a way that is both meaningful and contextually relevant.
    • Applications: NLP is utilized in chatbots, language translation, sentiment analysis, and voice-activated virtual assistants.
  4. Computer Vision:

    • Definition: Computer vision enables machines to interpret and make decisions based on visual data. It involves the development of algorithms that allow computers to understand and process images and videos.
    • Applications: Computer vision is employed in facial recognition, object detection, autonomous vehicles, and medical image analysis.

Key Components of the Program

  1. Foundational Concepts: The program starts with foundational concepts, ensuring that students have a solid understanding of the principles underlying AI. This includes mathematical foundations, algorithms, and programming languages commonly used in AI development.

  2. Specialized Modules: As the program progresses, students delve into specialized modules that cover various AI subfields. These may include topics such as reinforcement learning, neural networks, and ethics in AI. The goal is to provide a comprehensive understanding of both the theoretical and practical aspects of AI.

  3. Hands-on Projects: Practical application is a cornerstone of the program. Students engage in hands-on projects, working on real-world scenarios to develop the skills required for AI implementation. These projects enhance problem-solving abilities and foster creativity in addressing AI challenges.

  4. Industry-Relevant Skills: The curriculum is often tailored to meet the demands of the industry. Students gain insights into the latest AI trends and technologies, ensuring they are well-prepared to contribute to the development and deployment of cutting-edge AI solutions.

Career Opportunities

PG Diploma in Artificial Intelligence opens up a plethora of career opportunities. Graduates may find employment in various sectors, including healthcare, finance, e-commerce, and manufacturing. AI specialists are in high demand, with roles such as machine learning engineer, data scientist, AI researcher, and AI consultant being among the most sought after.

(FAQs) about the PG Diploma in Artificial Intelligence at LA Bootcamp, Mumbai

1. What are the prerequisites for enrolling in the PG Diploma in AI at LA Bootcamp?

Prospective students should ideally possess a background in computer science, engineering, mathematics, or related fields. A fundamental understanding of programming languages such as Python, familiarity with basic statistics, and a passion for exploring AI concepts are beneficial. However, the program also offers preparatory modules for individuals with varying levels of expertise.

2. How is the curriculum structured, and what topics does it cover?

The curriculum is designed to be comprehensive, covering essential AI concepts such as machine learning, deep learning, natural language processing, computer vision, reinforcement learning, and more. Students engage in theoretical lectures, practical workshops, and hands-on projects to gain a well-rounded understanding of AI technologies and their applications.

3. What distinguishes LA Bootcamp’s AI program from others?

LA Bootcamp’s AI program stands out due to its industry-aligned curriculum developed by industry experts and academics. The emphasis on hands-on experience through projects, workshops, and access to industry-standard tools ensures that students gain practical skills relevant to the current job market in AI.

4. Are there opportunities for practical application and industry exposure?

Yes, the program offers numerous opportunities for practical application. Students engage in real-world projects, case studies, and simulations to apply theoretical knowledge to practical scenarios. Additionally, LA Bootcamp facilitates interactions with industry professionals, guest lectures, and industry internships to provide exposure to real industry practices.

5. How does LA Bootcamp support career advancement after completing the PG Diploma?

LA Bootcamp offers comprehensive career support services, including career counseling, resume building workshops, interview preparation sessions, and networking opportunities with industry professionals. The institution also assists in job placement and provides guidance for pursuing further educational or professional opportunities in the field of AI.

Bill Gates

Co-founder of Microsoft and Bill & Melinda Gates Foundation

“A Break Through In Machine Learning will be worth TEN Microsofts”


Duration: 24 Months


Weekdays – 2 Hrs / 4 days a week

Weekends – 4 Hrs / Sat & Sun


Unit 1: Artificial Intelligence
Unit 2: Data Science
Unit 3: Machine Learning
Unit 4: “R”
Unit 5: “R” Data Structure
Unit 6: Descriptive Statistics
Unit 7: Data Visualization


Unit 1: Statistical Analysis
Unit 2: Hypothesis Testing
Unit 3: Data Acquisition
Unit 4: Foundations for ML
Unit 5: Foundations for AI
Case Studies




Students who have successfully completed their course as per Terms and conditions will be eligible for the certification.

Certification in Cyber Security will be provided jointly by St. Xavier’s Technical Institute and L.A Bootcamps.

St. Xavier’s Technical Institute is affiliated to Directorate of Technical Education and approved by All India Council for Technical Education (AICTE) and autonomous institute.



  • 12th HSC or Passed and Dropouts
  • BE/BTech/BSC/BCA/MTech/MSC/MCA/ or Passed out students pursuing or Graduate
  • Graduate (any stream ) Studying or Passed out students
  • Working professionals in the IT & Tech sector
  • Any one is eligible who is excel in this program

Over the last few years, artificial intelligence (AI) has opened up possibilities for the future. From space exploration to melanoma detection, it is making waves across industries, making impossible things possible.

Artificial Intelligence is a Good Career as AI jobs are plenty and growing by 32% in the last couple of years. There is a high talent gap – not enough qualified applicants for vacant positions.

What AI Careers you can pursue ?

Despite being a new and niche field, careers in artificial intelligence aren’t homogenous. Within AI, there are various kinds of jobs needing specific skills and experience. Let us look at the top ten one by one.

  1. Machine Learning Engineer
  2. Data Scientist
  3. Business Intelligence Developer
  4. Research Scientist
  5. Big Data Engineer/Architect
  6. Software Engineer
  7. Software Architect
  8. Data Analyst
  9. Robotics Engineer
  10. NLP Engineer

Vast Applications of AI

  • Healthcare: Proper diagnosis and treatment are facilitated by introducing AI in healthcare.
  • Education: A suitable learning environment is furnished to the students by utilizing AI.
  • Sports: With advanced AI technologies, athletes can expand their capabilities.
  • Agriculture: Maximum yield is possible by AI as it helps in developing the perfect farming environment.
  • Construction: Buildings can be constructed more safely and efficiently by the incorporation of AI.
  • Banking: Chat-bot assistance, fraud detection, and enhanced payment methods are some of the positive outcomes of AI.
  • Marketing: The sales target can be effectively achieved by making use of predictive intelligence along with machine learning.
  • E-commerce: Effective warehouse operations, good product recommendations, and fraud prevention are some of the fruits of AI.

Future of AI

According to the Gartner report of 2019, there has been a 270% growth in the applications of AI from 2015 – 2019. Thus, the importance of AI is bound to climb high in the future. AI career opportunities are drastically reaching great heights. Moreover, roles associated with AI also pay quite high.

L.A Bootcamps will provide 100% Placement Assistance to all students who successfully complete the course and extend below complimentary placement services to the students:

  • Resume Building assistance
  • Career Mentoring with Industry Professionals
  • Interview Preparation sessions
  • Career Fairs
  • Internship opportunities for Freshers

Never settle for less

Enroll for the course today and pay later with 0% EMI options through Us/partners