Intelligent Personal Assistant Training in Gurgaon, Delhi

Intelligent Personal Assistant

Making Intelligent Virtual Assistants a Reality. Join us Today and we show you the magic !

Duration : 1 year Classes : 72 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Artificial intelligence (AI) is no longer a theme in science fiction.

It is being integrated into our daily life as a result of the high adoption of intelligent appliances.

Smartphones can be considered as the engine of driving the popularization of AI. The various capabilities of smartphones allow more sophisticated interactions between human and machine (HMI).

IPA is a software application. It assists the user to perform tasks ranging from information search, location services, remote activation, appointment management, health data monitoring to online purchase. The power of IPA lies in its ability of recognizing and using AI, speech recognition, and natural language processing. IPA can also record the user input to improve its performance and accuracy over time. The proliferation of smartphones, tablets and mobile applications serve as the ideal platform and medium for IPA. IPA is usually embedded in major operating systems of smartphones and other intelligent computing devices.

This course provides a comprehensive introduction to the design and development of intelligent personal assistants (IPAs) such as SIRI / Cortana / Alexa / Google Assistant. Participants will explore the underlying technologies that enable these systems to understand voice commands, interpret natural language, and perform tasks autonomously. Participants will move from foundational concepts in Conversational AI to implementing real-world voice and text-based applications using modern Large Language Models (LLMs) and specialized services.

In this course you will be exposed to how to think when designing an IPA and by the end of the course you have your very own personal IPA on your PC !!! Enroll today !

Target Audience:-
- Data Analysts and Data Scientists
- AI / ML / DS - Engineers
- Computer Science students
- IT Professionals looking to transition into Anamoly Detection
- Research Scholars and AI Enthusiasts
- Engineers interested in human-computer interaction and voice technology

Learning Outcomes:-
- Analyze the end-to-end architecture of a modern IPA
- Implement core Natural Language Processing (NLP) components
- Apply generative AI and Prompt Engineering techniques
- Develop custom "skills" or "actions" using SDKs/APIs
- Design effective Conversational User Interfaces (CUI) and Voice User Interfaces (VUI)
- Evaluate the performance, scalability, security, and ethical implications of deploying an IPA in real-world scenarios

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

- You need to have intermediate to advanced Python experience. You are familiar with object-oriented Programming. You can write nested for loops and can read and understand code written by others.

-Intermediate Statistics background. You are familiar with Probability.

-Intermediate knowledge of machine learning techniques. You can describe backpropagation, and have seen a few examples of Neural Network architecture (preferrably a recurrent Neural Network or a long short-term memory network).

-You have seen or worked with a Deep Learning framework like TensorFlow, Keras, or PyTorch before.

....

NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Module 1: Introduction and Core Technologies
✔ Foundations of Conversational AI
✔ Programming and Cloud Infrastructure
✔ Mathematics for AI & ML

Module 2: Speech Processing: Voice Input
✔ Acoustics and Signal Processing
✔ Automatic Speech Recognition (ASR)
✔ Practical ASR Implementation

Module 3: Natural Language Understanding (NLU)
✔ Natural Language Processing (NLP) Fundamentals
✔ Intent Detection and Slot Filling
✔ Large Language Models (LLMs) in VAs

Module 4: Dialogue Management and Context
✔ Dialogue State Tracking (DST)
✔ Context and Multi-Turn Conversation
✔ Action & Fulfillment

Module 5: Response Generation and Synthesis
✔ Natural Language Generation (NLG)
✔ Text-to-Speech (TTS) Synthesis
✔ User Experience (UX) for Voice
✔ Custom voice generation and modulation
✔ Multilingual and emotional speech synthesis

Module 6: Machine Learning and Personalization
✔ User profiling and behavior modeling
✔ Recommendation systems for personalized responses
✔ Reinforcement learning for adaptive dialogue
✔ Context-aware and multi-turn conversations

Module 7: Advanced Topics, Testing, and Ethics
✔ Testing, Evaluation, and MLOps
✔ Security and Privacy
✔ Responsible AI and Ethics

Module 8: Lab & Project Work
✔ Build a voice assistant with wake-word and basic commands
✔ Integrate NLP for conversational flow
✔ Connect to external APIs for dynamic responses
✔ Final project: deploy a full-featured IPA with voice, NLP, and automation

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.