This program teaches students to use AI tools for reasoning, summarization & speech, image generation & editing, video generation, and AI-assisted web design & development. For this course no prior AI/ML background is required, only basic computer literacy enough. Learners build a portfolio of apps, visuals, and videos while practicing safety, provenance, and responsible use..
Course Highlights
1. |
Tool-first learning with short theory capsules and weekly projects. |
2. |
Reasoning assistants for planning, research and structured outputs. |
3. |
Summarization pipelines for web pages, documents and videos. |
4. |
Image generation and editing workflows with brand-safe practices. |
5. |
Text-to-video and image-to-video creation with creative controls. |
6. |
Modern web stack for AI-powered apps (React, Next.js, Framer). |
7. |
Rapid no/low-code shipping for prototypes and internal tools. |
8. |
Ethics, content provenance, and watermarking in production workflows. |
9. |
1 Year Free Backup Classes |
Learning Outcome
| • | Prompt and evaluate reasoning models. |
| • | Choose tools based on cost, latency, and quality. |
| • | Build summarization and transcription workflows from URLs and audio. | Read More |
| • | Generate and edit images and videos for campaigns, explainers, and reels. |
| • | Ship AI-powered web apps using modern stacks and optional no/low-code tools. |
| • | Apply content provenance and watermarking in creative pipelines. | Read Less |
Software that you will learn in this course
Course Content
| • | AI modalities and prompt basics |
| • | Responsible use, IP basics, and content provenance. |
| • | Watermarking concepts and safe publishing. |
| • | Setting up accounts, workspaces, and a project portfolio. |
| • | When to use lightweight vs. heavy reasoning models. |
| • | Latency vs. cost vs. quality trade-offs. |
| • | Hands-on: compare outputs on the same task. |
| • | System vs. user prompts; JSON schemas. |
| • | Function calling/tool use for structured results. |
| • | Hands-on: research brief gener. |
| • | URL/YouTube summarization pipelines. |
| • | Chunking, length control, and citations (internal only) . |
| • | Hands-on: URL notes quiz workflow. |
| • | Microphone/input configuration and batching. |
| • | Timestamped transcripts, diarization basics. |
| • | Hands-on: interview transcription executive summary. |
| • | Prompt styles, seeds, aspect ratios. |
| • | Consistency and brand-safe generations. |
| • | Hands-on: campaign poster set. |
| • | Inpainting/outpainting and background edits. |
| • | Reference-based edits for consistent branding. |
| • | Attach content credentials prior to publish. |
| • | Hands-on: before after edit with credentials. |
| • | Shot lists, camera and motion cues. |
| • | Timing, pacing, and transitions. |
| • | Hands-on: 15 30s concept clip. |
| • | Stills to animated sequences. |
| • | Basic audio and captions. |
| • | Hands-on: 30 45s product explainer. |
| • | Embedding/reading watermark signals . |
| • | Export settings and platform policies . |
| • | Hands-on: export a watermarked clip. |
| • | Text-to-UI experience and UX checklists. |
| • | Wireframes to component libraries. |
| • | Hands-on: generate a landing page UI. |
| • | Routing, server actions, and API routes. |
| • | Performance tips and edge/server rendering. |
| • | Hands-on: AI app shell (auth, forms, basic DB hooks). |
| • | Tokens and utility-first design. |
| • | Responsive layouts and design constraints. |
| • | Hands-on: branded design tokens + UI kit. |
| • | Prompt-to-app generation patterns. |
| • | Editing and versioning flows. |
| • | Hands-on: generate & deploy a feature page in hours. |
| • | Task planning, multi-step workflows. |
| • | Multi-file/code artifacts and evaluation. |
| • | Hands-on: ingest reason create content pipeline. |
| • | Marketing content factory. |
| • | Educational explainer producer. |
| • | AI product site with live demo. |
| • | AD storyboard video. |
Jobs and Career Opportunity After Completing Course
After completing the course our students can work across creative tech, content, marketing, and web product teams producing AI-assisted visuals and videos, automating content operations, and shipping AI-powered sites. Roles span agencies, D2C brands, media, ed-tech, SaaS, startups, and in-house product/marketing teams.
| Job profile After completing this course |
Average salary ( 1+ year experience) |
|---|---|
| AI Content Producer | ₹6.0 LPA |
| AI Video Creator / Editor | ₹6.5 LPA |
| Creative Technologist | ₹9.0 LPA |
| Prompt / Automation Specialist | ₹7.5 LPA |
| AI Web Developer (React/Framer) | ₹9.5 LPA |
| Frontend Engineer (AI-augmented) | ₹8–15 L |
| No-Code App Builder | ₹6.0 LPA |
Backup Class
Flexible Timing
Fees Installment
Expert Trainer
100% job assistance
Free Library
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Live Project
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Practical learning
I am a student of IFDA Institute Kalkaji and I am learning Multimodal AI Tools course. I am learning various modules in my course.My experience is very good here. IFDA provides practical as well as theory classes of every concept. Even the smart classes are provided for practical section through which it becomes very easy to understand.
Hey ,there I am a student in IFDA Institute and my course is a Multimodal AI Tools course. I am having a great time doing this Course and the best institute. Literally, here the teachers are very good and helpful to the students.
I study at IFDA Institute. I am an Multimodal AI Tools course student. I understand everything in my class. It's very easy to understand everything. Every query or question are solved. Very helpful and supportive staff. My experience is good so far with ifda. I suggest everyone to join this institute❤
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Frequently Asked Questions
No. The course starts from basic computer skills and Python. We teach only the math you will actually use in projects.
32 weeks, 320 hours total. Plan for 10 hours per week: 6 hours class, 2 hours hands-on lab, 2 hours supervised project clinic.
Yes. The schedule is designed to fit around other commitments. Weekend and evening batches can be organized.
Any recent laptop with 8 GB RAM (16 GB recommended). A dedicated GPU is helpful but not mandatory; cloud notebooks are provided.
Yes. You will work with modern APIs for function/tool calling, embeddings, RAG, and agent workflows.
Rubrics cover correctness, code quality, documentation, evaluation metrics, and reliability. Capstone includes a live demo.
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Get free counselling by our experience counsellors. We offer you free demo & trial classes to evaluate your eligibilty for the course.
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