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Become a
Multimodal AI Engineer
Industry-Taught. 
Career-Ready.

Learn from Top Industry Experts and unlock your full potential?

Click the link below !

₹15,000|  ₹ 20,000 Affordable. Practical. Powerful.

Enroll Now

Become a
Multimodal AI Engineer
Industry-Taught. 
Career-Ready.

Learn from Top Industry Experts and unlock your full potential?

Click the link below !

₹15,000|  ₹ 20,000 Affordable. Practical. Powerful.

Enroll Now
About this Training Program?

The Multimodal AI training program is designed to provide a deep understanding of how artificial intelligence systems can integrate and process multiple types of data such as text, images, audio, and video. This course covers foundational and advanced concepts in multimodal learning, including the architectures and mechanisms that enable machines to interpret, relate, and generate content across different modalities. Participants will work with real-world datasets and state-of-the-art models like CLIP, DALL·E, and other transformer-based systems, gaining practical experience in building intelligent applications that combine vision, language, and sound.

Course Objective

This course offers numerous benefits, including hands-on experience with the latest AI models, an in-depth understanding of multimodal fusion techniques, and exposure to real-world use cases in fields such as healthcare, media, and robotics. Learners will build a robust skillset for creating systems that can understand and interact with the world in more human-like ways.

How can it be beneficial?

    The training is especially beneficial for those looking to advance their careers in AI research or applied machine learning. It enables professionals to work on cutting-edge technologies that span across various domains, offering a competitive edge in industries where complex data interactions are common. Whether aiming to innovate within an organization or pursue research, this program equips participants with essential tools for success in a rapidly evolving field.

Multimodal AI Course Features

👤
Live and Focused One-On-One Training Sessions.
🎓
Beginner-Friendly with No Prior Experience Required.
📊
Practical projects around real execution cases.
💼
Designed for Career Transition & Job Readiness.
Why Us

Why Choose Us?

Live & One-On-One Guidance

Get tailored instruction through focused one-on-one sessions, ensuring you receive personalized support every step of the way.

No Experience? No Problem!

Our curriculum is built with beginners in mind — no prior coding or analytics experience is required to start your journey.

Hands-On, Practical Training

Work on real-world use cases and scenarios that mirror actual industry challenges, preparing you with job-ready skills.

Job Readiness & Career Transition

This course is crafted to help you transition smoothly into analytics roles, with a strong emphasis on employability and practical outcomes.

Course Curriculum

Module 1: Introduction to Multimodal AI
  • What is Multimodal AI?
  • Use cases: chatbots, virtual assistants, video captioning, sentiment detection, content generation.
  • Challenges in multimodal learning (alignment, fusion, scalability).
  • Overview of key architectures (transformers, encoder-decoder models).
Module 2: Text Modality – Foundations & Integration
  • NLP basics: tokenization, embeddings (Word2Vec, BERT).
  • Using text in combination with other modalities.
  • Text generation models (GPT, T5).
  • Text-to-image & text-to-video introductions.
Module 3: Audio Modality – Speech & Sound in AI
  • Audio preprocessing: spectrograms, MFCCs.
  • Speech-to-text and text-to-speech systems.
  • Audio embeddings and classification.
  • Integrating audio with vision/text (e.g., audio-visual emotion recognition).
Module 4: Image Modality – Vision for Multimodal Systems
  • CNNs and vision transformers (ViT).
  • Image embeddings and feature extraction.
  • Image captioning models.
  • Text-image pairing (e.g., CLIP by OpenAI).
Module 5: Video Modality – Understanding Temporal Visual Data
  • Basics of video processing: frame extraction, motion detection.
  • 3D CNNs and spatiotemporal models.
  • Video captioning and summarization.
  • Text-to-video models (intro to models like Sora, Runway, Pika).
Module 6: Multimodal Fusion Techniques
  • Early fusion vs. late fusion vs. hybrid fusion.
  • Shared embedding spaces.
  • Cross-modal attention mechanisms.
  • Model architectures for multimodal tasks (e.g., Flamingo, VisualBERT).
Module 7: Tools, Frameworks & APIs
  • OpenAI APIs (e.g., GPT-4 with vision/audio input).
  • Hugging Face transformers and datasets.
  • PyTorch & TensorFlow for multimodal modeling.
  • Tools like CLIP, Whisper, DALL·E, and Sora.
Module 8: Applications & Case Studies
  • Multimodal search (text + image).
  • AI content creation (text to video/image/audio).
  • Emotion-aware assistants.
  • Real-world case studies: healthcare, e-commerce, education, accessibility.
Module 9: Capstone Project
  • Choose a multimodal AI use case (e.g., generate video from text, or create an AI presenter).
  • Design the pipeline and train or fine-tune models.
  • Demonstrate multimodal integration.
  • Present findings with a short report and demo.
Tools & Platforms
  • Python, PyTorch, Hugging Face.
  • OpenAI APIs (ChatGPT, Whisper, DALL·E, Sora).
  • Colab/Jupyter for prototyping.
  • ffmpeg, librosa, OpenCV for media processing.
Deliverables
  • Mini-projects.
  • Access to code templates and multimodal datasets.
  • Lifetime access to learning material and agent templates.
  • Quizzes, assignments, and final assessment with scoring.

Course Curriculum

Module 1: Introduction to Multimodal AI
  • What is Multimodal AI?
  • Use cases: chatbots, virtual assistants, video captioning, sentiment detection, content generation.
  • Challenges in multimodal learning (alignment, fusion, scalability).
  • Overview of key architectures (transformers, encoder-decoder models).
Module 2: Text Modality – Foundations & Integration
  • NLP basics: tokenization, embeddings (Word2Vec, BERT).
  • Using text in combination with other modalities.
  • Text generation models (GPT, T5).
  • Text-to-image & text-to-video introductions.
Module 3: Audio Modality – Speech & Sound in AI
  • Audio preprocessing: spectrograms, MFCCs.
  • Speech-to-text and text-to-speech systems.
  • Audio embeddings and classification.
  • Integrating audio with vision/text (e.g., audio-visual emotion recognition).
Module 4: Image Modality – Vision for Multimodal Systems
  • CNNs and vision transformers (ViT).
  • Image embeddings and feature extraction.
  • Image captioning models.
  • Text-image pairing (e.g., CLIP by OpenAI).
Module 5: Video Modality – Understanding Temporal Visual Data
  • Basics of video processing: frame extraction, motion detection.
  • 3D CNNs and spatiotemporal models.
  • Video captioning and summarization.
  • Text-to-video models (intro to models like Sora, Runway, Pika).
Module 6: Multimodal Fusion Techniques
  • Early fusion vs. late fusion vs. hybrid fusion.
  • Shared embedding spaces.
  • Cross-modal attention mechanisms.
  • Model architectures for multimodal tasks (e.g., Flamingo, VisualBERT).
Module 7: Tools, Frameworks & APIs
  • OpenAI APIs (e.g., GPT-4 with vision/audio input).
  • Hugging Face transformers and datasets.
  • PyTorch & TensorFlow for multimodal modeling.
  • Tools like CLIP, Whisper, DALL·E, and Sora.
Module 8: Applications & Case Studies
  • Multimodal search (text + image).
  • AI content creation (text to video/image/audio).
  • Emotion-aware assistants.
  • Real-world case studies: healthcare, e-commerce, education, accessibility.
Module 9: Capstone Project
  • Choose a multimodal AI use case (e.g., generate video from text, or create an AI presenter).
  • Design the pipeline and train or fine-tune models.
  • Demonstrate multimodal integration.
  • Present findings with a short report and demo.
Tools & Platforms
  • Python, PyTorch, Hugging Face.
  • OpenAI APIs (ChatGPT, Whisper, DALL·E, Sora).
  • Colab/Jupyter for prototyping.
  • ffmpeg, librosa, OpenCV for media processing.
Deliverables
  • Mini-projects.
  • Access to code templates and multimodal datasets.
  • Lifetime access to learning material and agent templates.
  • Quizzes, assignments, and final assessment with scoring.
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Level-Up Lab

At NextGen Coders, we don’t just help you upskill — we’re here to support you even after the course ends.


*These are paid services post 1 week of course completion.
Interview Prep
Resume Building
LinkedIn Optimization
Career Support Services
Interview Prep
Interview Practice

Recorded practice with AI feedback on speech, tone, and filler words.

Simulation

Simulated virtual interviews (Zoom, HireVue-style).

Interview Story Bank Creation

Categorize stories by skill, company value, or role.

Crisis Question Coaching

How to answer gaps, firings, career changes etc.

Resume Building
ATS Optimization

Tailor resumes with the right keywords to pass Applicant Tracking Systems..

Role-Specific Customization

Create versions of the resume for different job types or industries.

Professional Formatting & Design 

Clean, modern templates that balance readability and visual appeal. 

Resume Critique & Live Feedback

Detailed feedback sessions with actionable edits. 

Entry-Level & Fresher Resume Creation 

Focused on projects, internships, academic achievements, and potential. 

LinkedIn Optimization
LinkedIn Revamp

Revamp your LinkedIn profile and give it a completely new look.

Headline Transformation for Visibility

Craft attention-grabbing, keyword-optimized headlines that showcase your expertise and make you stand out in searches.

Strategic Content & Engagement Plan

Develop a posting strategy to increase visibility, establish thought leadership, and engage with your network through relevant content sharing and comments. 

Connection Strategy for Networking

Develop a targeted connection approach, including personalized connection requests and outreach templates to grow your network with relevant professionals and recruiters. 

Career Support Services
Networking Concierge

Help clients create and maintain a networking plan.

Job Offer Evaluation Session

Compare compensation, benefits, growth potential, and cultural fit. 

Professional Communication Coaching

Focused on email etiquette, Slack culture, and workplace messaging. 

Job Boards training

Learn how to make the most use of professional job boards.

Entrepreneurial Path Planning

Explore how to turn your skills into a solo business or side hustle.

Success Stories!

Sunny Chopra - 
The one-on-one mentorship was a game-changer! My instructor guided me through complex concepts with real-world applications. I feel more confident in my skills and have already secured a job in my desired field.

Nikhil Dhir-
The learning path is clear, the resources are solid, and the instructors actually care about your progress. I’m now working remotely and making more than I ever did in my old job.


Rishabh Gupta- 
The instructors are not only experienced professionals but also incredible mentors. They took the time to address my doubts and ensured I fully understood each topic. I’ve never had such a supportive learning experience.

Harsh Patel-
Before taking this course, I struggled to land a tech job. The hands-on projects, personalized mentorship, and career guidance helped me build a strong portfolio, and I finally landed my dream role as a developer.


Aru Bhaskar-
I’d tried a few online coding courses before, but none were as hands-on and community-driven as NextGen Coders. The support and mentorship made all the difference.


Kiran-

As a former retail manager, I was nervous about switching careers. NextGen Coders made it possible. I now work in as a Python developer and have a real future ahead of me.


Hasan-
The lessons are clear, the projects are legit, and the progress I’ve made is insane. I feel confident applying for junior dev roles now. For the first time, I actually feel like a real developer.


Got a Query ??

Check out our FAQ !

Why should I opt for NextGen Coders?

At NextGen Coders, we don’t just teach — we mentor you all the way from basics to job readiness. Our hands-on courses, 1-on-1 mentorship, and personalized career support help you build skills that actually get you hired — all at extremely affordable prices.

What if I miss a class or fall behind?

No need to stress if you miss a session — every class is recorded and available to you anytime, anywhere. You’ll have lifetime access to the recordings so you can learn at your own pace. Plus, our regular doubt-clearing sessions and active support channels ensure you never fall behind, no matter where you start.

Are your courses beginner-friendly?

Absolutely. Most of our programs are designed with beginners in mind — no prior experience needed. We start from scratch and support you with doubt sessions, real examples, and hands-on practice to build your confidence step-by-step. 

We do offer upskilling batches as well.

Are there EMI or student discounts available?

Yes, we’ve got your back with student-friendly pricing, early bird deals, and flexible payment options. Reach out to our team to know about the latest offers and discounts available for you!