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Become a GenAI Innovator – Learn to Build with AI, Not Just Use It

Generative AI Mastery Course

– Shape the Future with AI Creativity!

Generative AI
4.5 Stars
Duration: Choose Your Course Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)

📌 BATCH START DATE:

⏰ LAST DATE TO APPLY:

⏳ Batch Starts In:

🔥 Limited Time Offer! 🔥
₹3999/- ₹1999/- 🎯
📢 Enroll Now & Save Big!

REGISTRATION FORM

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About This Course

Generative AI is revolutionizing how we create, code, write, design, and solve problems. This course is designed to give you hands-on skills in building intelligent applications using cutting-edge Gen AI tools like ChatGPT, DALL·E, MidJourney, Stable Diffusion, and OpenAI APIs.

Whether you’re a student, developer, or a creative mind, this course is your gateway to mastering the AI tools that are powering the future of work.

No prior AI experience required. We start from basics and go all the way to real-world projects.

What You Will Learn

  • The course provides the entire toolbox you need to become an AI Engineer
  • Understand key Artificial Intelligence concepts and build a solid foundation
  • Start coding in Python and learn how to use it for NLP and AI
  • Impress interviewers by showing an understanding of the AI field
  • Apply your skills to real-life business cases
  • Harness the power of Large Language Models
  • Leverage LangChain for seamless development of AI-driven applications by chaining interoperable components
  • Become familiar with Hugging Face and the AI tools it offers
  • Use APIs and connect to powerful foundation models
  • Utilize Transformers for advanced speech-to-text

Foundations of Generative AI

 

  • What is Generative AI and how it differs from traditional AI

  • Real-world applications across industries (tech, marketing, design, healthcare)

  • Understanding LLMs (Large Language Models) and their role in modern AI

 

Prompt Engineering & ChatGPT Mastery

  • Basics of prompt writing and prompt tuning

  • Building intelligent conversations with ChatGPT

  • Using ChatGPT for content creation, code assistance, email writing, and automation

AI Image Generation Tools

  • Using DALL·E, MidJourney, and Stable Diffusion to generate images

  • Crafting visual prompts and customizing AI artwork

  • Ethical use and copyright awareness in image generation

Text, Voice & Video Creation

  • Text-to-speech with ElevenLabs and Google TTS

  • Voice cloning and dubbing with AI tools

  • Generating AI-powered videos using tools like RunwayML, Sora, and Pika Labs

OpenAI API & Real-World Projects

  • How to use OpenAI API for integrating AI in applications

  • Automating workflows using GPT-based services

  • Building mini-projects like content writers, resume builders, chatbots, etc.

Career & Practical Readiness

  • Using Generative AI in freelancing and job workflows
  • Resume building with AI tools
  • Exploring the future of GenAI in corporate and startup environments

Course content

76 sections • 429 lectures • 28h 14m total length

🕒 6 lectures – 20 mins

  • Building an AI module simulator: A quick demo – 02:01

  • What does the course cover – 02:07

  • Human vs Artificial Intelligence – 02:11

  • Identifying AI – 02:07

  • Demystifying AI: Data science, Machine learning, and Deep learning – 02:06

  • Weak vs Strong AI – 02:04

  • Quiz 1 – 4 questions

🕒 6 lectures – 11 mins

  • Structured vs unstructured data – 01:27

  • Inclusive vs exclusive data – 02:02

  • Labeled and unlabeled data – 01:45

  • Dimensionality – 01:34

  • Quiz 2 – 3 questions

🕒 3 lectures – 16 mins

  • Machine learning – 05:05

  • Supervised, Unsupervised, and Reinforcement learning – 06:57

  • Deep learning – 03:37

🕒 6 lectures – 15 mins

  • Robotics – 02:11

  • Computer vision – 04:15

  • NLP – 03:45

  • General AI – 04:12

  • Quiz 3 – 3 questions

🕒 10 lectures – 27 mins

  • The Great GPT War: Introducing ChatGPT – 02:00

  • OpenAI’s Powerhouse: Natural Language Processing (NLP) – 02:56

  • NLP Pre-Processing – 02:54

  • Neural Networks, Deep Learning, Language Models (LLMs) – 02:53

  • The Efficiency of LLMs: Training Supervised vs Semi-Supervised learning – 02:55

  • Prompt Engineering: The Smart Tricks Behind the Function Of NLP – 03:02

  • Prompt examples & multi-modal models – 02:20

  • Human-in-the-loop AI: Fine-tuning, RAG, Techniques for AI optimization – 02:41

  • Putting it all together – 02:55

  • Generative AI in real-world production models – 02:30

🕒 4 lectures – 10 mins

  • Inconsistency and hallucination – 02:43

  • Budgeting and API costs – 02:09

  • Latency – 02:16

  • Running out of data – 02:52

🕒 7 lectures – 20 mins

  • Python programming – 02:07

  • Working with APIs – 02:16

  • Vector databases – 04:16

  • The importance of open-source – 02:04

  • Langchain – 02:55

  • Hugging Face – 02:47

  • Autotrain workflows – 03:04

🕒 3 lectures – 6 mins

  • AI strategist – 02:08

  • AI developer – 02:17

  • AI engineer – 02:17

🕒 2 lectures – 5 mins

  • AI ethics – 01:56

  • Future of AI – 03:03

🕒 2 lectures – 6 mins

  • Programming Explained in a Few Minutes – 01:39

  • Why Python – 04:02

This course includes:

  • 28 hours on-demand video
  • 98 coding exercises
  • 17 articles
  • 137 downloadable resources
  • Access on mobile and TV
  • Certificate of completion

About The Instructor

👨‍🏫 Instructor: Sneha Mishra

AI Specialist | Ex-Data Scientist at TCS | 

Sneha Mishra is a passionate AI educator with over 6 years of experience in the field of Artificial Intelligence, Data Science, and Machine Learning. Having worked with Tata Consultancy Services (TCS) on real-time AI deployment projects, she brings hands-on expertise from industry to classroom.

At SkillSecureX, she leads curriculum design and mentorship for AI, Data Science, and Full Stack programs. Sneha’s teaching style is known for being clear, practical, and deeply engaging, making complex concepts easy to understand—even for beginners.

Major Project:

AI-Powered Personal Assistant Bot

🧠 Project Title: “GenAI Virtual Assistant – Your AI-Powered Daily Companion”

Project Description:

In this capstone project, learners will build a fully functional AI-powered personal assistant bot using the OpenAI API (ChatGPT), integrated with text, voice, and image generation capabilities.

This assistant can:

  • Answer questions in natural language

  • Generate content (emails, summaries, notes)

  • Perform basic tasks like reminders, daily updates, and even tell jokes

  • Create visual content using DALL·E or MidJourney prompts

  • Accept voice input and give voice responses using TTS tools

Trusted Collaborators

Description

The Problem

AI Engineers are best suited to thrive in the age of AI. It helps businesses utilize Generative AI by building AI-driven applications on top of their existing websites, apps, and databases. Therefore, it’s no surprise that the demand for AI Engineers has been surging in the job marketplace.

Supply, however, has been minimal, and acquiring the skills necessary to be hired as an AI Engineer can be challenging.

So, how is this achievable?

Universities have been slow to create specialized programs focused on practical AI Engineering skills. The few attempts that exist tend to be costly and time-consuming.

Most online courses offer ChatGPT hacks and isolated technical skills, yet integrating these skills remains challenging.

The Solution

AI Engineering is a multidisciplinary field covering:

  • AI principles and practical applications

  • Python programming

  • Natural Language Processing in Python

  • Large Language Models and Transformers

  • Developing apps with orchestration tools like LangChain

  • Vector databases using PineCone

  • Creating AI-driven applications

Each topic builds on the previous one, and skipping steps can lead to confusion. For instance, applying large language models requires familiarity with Langchain—just as studying natural language processing can be overwhelming without basic Python coding skills.

The Skills

1. Intro to Artificial Intelligence

Structured and unstructured data, supervised and unsupervised machine learning, Generative AI, and foundational models—these familiar AI buzzwords; what exactly do they mean?

Why study AI? Gain deep insights into the field through a guided exploration that covers AI fundamentals, the significance of quality data, essential techniques, Generative AI, and the development of advanced models like GPT, Llama, Gemini, and Claude.

2. Python Programming

Mastering Python programming is essential to becoming a skilled AI developer—no-code tools are insufficient.

Python is a modern, general-purpose programming language suited for creating web applications, computer games, and data science tasks. Its extensive library ecosystem makes it ideal for developing AI models.

Why study Python programming?

Python programming will become your essential tool for communicating with AI models and integrating their capabilities into your products.

3. Intro to NLP in Python

Explore Natural Language Processing (NLP) and learn techniques that empower computers to comprehend, generate, and categorize human language.

Why study NLP?

NLP forms the basis of cutting-edge Generative AI models. This program equips you with essential skills to develop AI systems that meaningfully interact with human language.

4. Introduction to Large Language Models

This program section enhances your natural language processing skills by teaching you to utilize the powerful capabilities of Large Language Models (LLMs). Learn critical tools like Transformers Architecture, GPT, Langchain, HuggingFace, BERT, and XLNet.

Why study LLMs?

This module is your gateway to understanding how large language models work and how they can be applied to solve complex language-related tasks that require deep contextual understanding.

5. Building Applications with LangChain

LangChain is a framework that allows for seamless development of AI-driven applications by chaining interoperable components.

Requirements

  • No prior experience is required. We will start from the very basics
  • You’ll need to install Anaconda. We will show you how to do that step by step

Who this course is for:

  • You should take this course if you want to become an AI Engineer or if you want to learn about the field
  • This course is for you if you want a great career
  • The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

"Get Industry level Certification!"

Gen AI certification
4.5 Stars
Duration: Choose Your Course Length —
1, 2, 3, 4, 5, or 6 Months (Online & Remote)

📌 BATCH START DATE:

⏰ LAST DATE TO APPLY:

⏳ Batch Starts In:

🔥 Limited Time Offer! 🔥
₹3999/- ₹1999/- 🎯
📢 Enroll Now & Save Big!
REGISTRATION FORM
Fill up the Below form to get registered in the program
Please enable JavaScript in your browser to complete this form.
This will appear on your certificate.
*Should be an active email id.
*This option allows you to postpone the program to a future date. Leaving it blank will apply the default schedule.

Meet our Ex-Interns

Profiles are from linkedin, Click to Cross-Check

Shivesh Singh – Software Engineering Student | AI/ML Enthusiast

Junaid Aftab – Full Stack Developer | Recruiter

Ayush Kumar – Computer Science Student | Learner | Generative AI

Sheebamol TG-Web developer/WordPress Developer

Uday Dalvi-Java/ web dev/ SQL developer

Saipranav Sapare-Front-End intern at Solar Secure Solutions (A part of CWS)

Ayushi mallawat – Full Stack Web developer Intern at Solar Secure Solutions (Part of CWS)

Mayank Parmar-Intern at Solar Secure Solutions | Web developer| SVNIT (Part of CWS)

Ritesh Shukla- Full stack developer Intern at Soalr secure solutions(Part of CWS)

Mohit Kapil- IIT Roorkee’23 | Frontend Developer 

Mritunjay Mishra-Software Developer | Java | Python

Rachin-Associate QA Engineer at Empyra software solutions

PRATIBHA KUMARI-RAMS Engineer @ Alstom

Ramavath Harish-NIT MEGHALAYA

Rahul Bansal – Product Manager at HP India

krishnavamshi Thadooru-Mern Full Stack Developer

Shubhanshu roy-MVJ College of Engineering, Bangalore, India

Deepthi Muthineni-Project Engineer at Wipro

Ayush Parasha- Student at Arya College of Engineering and IT

Pranav Joshi- Full Stack Developer

RITU SINGH-FullStack Developer

Jahruddeen Ansari-DevOps Engineer | AWS Practitioner Certification – Associate

Syed Kashif- New Delhi

Jonal Suthar – TCS | Systems Engineer

Testimonals

Shivesh Singh
Shivesh Singh
Software Engineering Student | AI/ML Enthusiast
Read More
I have learnt so much. While expertise is something that will certainly need more time and practice on my part, it is really great to known what terrains I'm walking on, the potential of the knowledge corpus floating around.
Junaid Aftab
Junaid Aftab
Full Stack Developer | Recruiter
Read More
it's easy of understanding and the way course is outlined. A short quizzes at the end of each chapter may be added to make it more interactive.
Sheebamol TG
Sheebamol TG
Web developer/WordPress Developer
Read More
I was looking for a course that touched on the many subjects of AI and this was it. Sometimes the API used were outdated and how better to find updated information but use AI to find it.
Uday Dalvi
Uday Dalvi
Java/ web dev/ SQL developer
Read More
The course contained excellent content. While the quality of delivery was very high, the consistency of delivery, format of materials and lab content was not.
Saipranav Sapare
Saipranav Sapare
Front-End intern at Solar Secure Solutions (A part of CWS)
Read More
The course was good it covered everything and it explained everthing clearly just the part where llm and langchain is explained it's coding part is difficult to follow.Remaining course is good and It covers everything from basic to advance.Great Course and You should take it.
Ayushi mallawat
Ayushi mallawat
Full Stack Web developer Intern at Solar Secure Solutions (Part of CWS)
Read More
This course was excellent. It really helped me through my foundations and gave me a clear view of this vast field.
Mayank Parmar
Mayank Parmar
Intern at Solar Secure Solutions | Web developer| SVNIT (Part of CWS)
Read More
This course is well-structured and clearly tries to make complex topics more accessible. However, from my perspective, it falls a bit short in depth. I took it as a way to complement and expand my existing knowledge in AI, and while some sections were helpful, I often found myself wishing for more technical depth and coverage.
Ritesh Shukla
Ritesh Shukla
Full stack developer Intern at Soalr secure solutions(Part of CWS)
Read More
Overall, I left the course with mixed feelings. I am primarily a developper, and in this course there are too much talking compared to programming. In at least one entire module the sound quality is bad, which is unaccpetable for a course from a company. Do not expect to be able to build an app using AI, it's more about learning concepts using Jupyter Notebook.
Mohit Kapil
Mohit Kapil
IIT Roorkee'23 | Frontend Developer
Read More
This course was a very uneven experience. The first couple of units felt like they were AI-generated themselves—awkward, overly produced, and lacking human presence. While there was some useful information early on, it was presented in a way that made it hard to engage with or trust.
Mritunjay Mishra
Mritunjay Mishra
Software Developer | Java | Python
Read More
Learning about AI has been very helpful in order to utilize the applications and generate prompts pertaining to specific topics. AI has made it easier for people to learn new things and explore new features of AI
Rachin
Rachin
Associate QA Engineer at Empyra software solutions
Read More
I had an issue with the second tutor that came on. Her explanations where very poor, I struggled to get through that phase of the course. After that, the rest of tutors where great. I will suggest the second phase of the course to be redone by someone else and for the entire course to be updated.
PRATIBHA KUMARI
PRATIBHA KUMARI
RAMS Engineer @ Alstom
Read More
Good structure and workflow, just one problem, please update the course content especially where there are deprecated dependencies it saves us from a lot of blockers

Some Top recruiters...

FAQs

To begin, complete the registration form above by entering your name, email ID, and mobile number. Mention if you’re a student or a professional, along with your college or workplace details. You can also pick a convenient start date, and we’ll try our best to match it.

📩 Offer Letter: After we verify your registration, your offer letter will be issued and sent to your email within a few hours or the next morning.
📩 Welcome Package: On your chosen start date, you’ll receive login credentials and step-by-step guidance via email.
In case you have any queries, you can reach out through hr@skillsecurex.com or WhatsApp/call +91-7618025090.

Definitely! Our support team assists with college-required documents such as attendance sheets, evaluation reports, progress updates, and project summaries throughout your program.

If you need to take a leave for any reason, simply email us or drop a WhatsApp message. You don’t have to wait for a response — just inform us and focus on your priority. Once you’re ready, you can easily resume your tasks.

Yes, a laptop or desktop with a good internet connection is mandatory for participating in this program.

Our programs feature pre-recorded video sessions and LIVE sessions both (Hybrid )  to offer maximum flexibility. Everyone — students, professionals, and mentors — can learn at their own pace without schedule conflicts.

Don’t worry there is an AI-powered assistant to help you with all your coding-related queries. Andie can check and debug code, generate new code, and even build entire projects for you.

This feature is exclusively available to registered candidates through their Task Portal.

Since mentors cannot be available 24/7, Andie was developed to bridge the gap. Located at the bottom-left corner of every module, this Full Stack Developer Bot is capable of writing, reviewing, and troubleshooting code anytime, ensuring you get instant solutions to your coding challenges, day or night.

This internship cum training opportunity is designed in such a way as from fresher to a professional anyone can get benefit out of it, The opportunity is divided into 15+ modules, and every Module contains 15-20 small tasks plus 1 project (in the last) based upon what you have learnt in that particular module. The complexity and practicality of your modules and projects will gradually increase, Timing is flexible, schedule yours accordingly.  After completing every project given in the modules, Submit within the deadlines.

A major part of this program contains a training part, however we have many projects (2 Major, 15 Minor and many practice projects) and many internal and external resources to sharpen the skills of the candidates. It is a self paced program, Training and internships will go simultaneously. After every Module, there will be a project related to it (may it be a minor, major or practice project)

We have 20+ projects to provide hands on Experience and sharpen the skills of the Interns. 

About Paid Projects_

Paid projects will be provided to the interns on two basis

1) The assignments/projects, which all students sends goes directly to our USA team. they evaluate all of them and create a kind of ranking sheet based upon some factors like quality, accuracy, deadline met etc. They keep this list with them for future paid projects.

2) The availability and number of the projects available.

The training is split into 15+ modules, each with 15–20 tasks and one project. As you progress, the complexity grows to ensure steady skill development. Projects must be submitted on time, and you can plan your schedule flexibly.

You’ll work on over 20 projects to build real-world experience.
👉 Paid Project Opportunity: Based on your performance (quality, speed, and accuracy), you may be eligible for paid tasks offered by our USA team, subject to availability.

Anyone interested can join! Basic knowledge of HTML, CSS, or JavaScript is a bonus but not compulsory. Graduates from any stream are welcome. There are no restrictions based on nationality, age, or background.

You decide your working hours! Whether you’re a student or a working professional, you can complete modules at your convenience. Plus, the internship is 100% remote — work from wherever you are most comfortable.

Once enrolled, you’ll have lifetime access to all training content, unless there’s a policy change in the future.

Absolutely! You’ll receive full training material, video tutorials, and 24/7 coding assistance before and during your project work.

Yes, but it depends! Stipends are offered based on your performance, the nature of the project, and USA team evaluations. Stipends typically range from ₹8,000 to ₹18,000 INR ($99 – $219) or higher, depending on project availability.

We actively hire top-performing interns for internal and client roles based on project availability. Additionally, we regularly post openings from our partners so you can apply even after completing the program.

Your certificate will be automatically prepared and scheduled to be emailed around your program completion date. Allow up to 48 extra hours if it falls on a weekend or holiday.

LORs are awarded to exceptional candidates based on strict performance criteria. If you require a LOR for special circumstances like studying abroad, you may also directly request it from HR.

Of course! Although not mandatory, if you find the program valuable, feel free to refer it to friends, classmates, or colleagues who might benefit.

4.5 Stars

SkillSecureX is a forward-thinking EdTech company dedicated to transforming how students and aspiring professionals build careers in the IT sector. Founded with a vision to make high-quality, industry-relevant learning accessible to all, SkillSecureX specializes in online internships and certified training programs in Web Development, Data Science, Artificial Intelligence, and other cutting-edge technologies.

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