Search "AI course in Amritsar" or "AI course in Jalandhar" and you'll find a lot of weekend workshops promising to teach you "50 AI tools in 2 hours." Those aren't wrong to exist, but they don't make you employable — they make you aware. MITS Academy's GenAI & Prompt Engineering — Industry Ready course is built differently: 12 weeks, 36 sessions, 80% hands-on practice, 10+ projects and one capstone, priced at ₹30,000–₹42,000, and organised around business problems, not tool tours.
Who this course is actually for
- •Any graduate or working professional who wants to genuinely use AI at a professional level — not just prompt ChatGPT casually, but build things with it
- •Marketing, design, and content professionals who want to fold AI image, video, and copy generation into real client work
- •Developers who want AI-assisted coding and AI app-building skills (no-code/low-code) added to their toolkit
- •Anyone wanting to freelance using AI tools — content creation, design, automation — as a genuine income stream, not a side hobby
- •Non-technical career-switchers who want an AI-adjacent role without a full 6-month coding commitment
What the course actually covers — the real 12-week structure
Week 1 — AI Foundations: AI vs ML vs DL vs Generative AI, what LLMs/tokens/context/embeddings actually are, why hallucination happens, and hands-on comparison of ChatGPT vs Gemini vs Claude vs Perplexity on the same prompt.
Week 2 — Prompt Engineering Fundamentals: the Role + Task + Context + Constraints + Output Format structure, zero-shot/few-shot/role/instruction prompting, and 20+ real prompt exercises — building an AI teacher, AI interviewer, AI resume reviewer, and AI marketing assistant.
Week 3 — Advanced Prompt Engineering: chain-of-thought reasoning, prompt chaining, structured JSON output, and a major project — building a personal Prompt Library across coding, marketing, education, research, and business use cases. This becomes a real, reusable portfolio artifact.
Week 4 — AI Research: using Perplexity, Gemini, ChatGPT, Claude, NotebookLM, Elicit, and Consensus for genuine research work, following a Search → Verify → Compare → Summarize → Cite workflow on a real research topic.
Week 5 — AI Image Generation: ChatGPT image generation, Midjourney, Adobe Firefly, Ideogram, and Leonardo, taught through a structured image-prompting formula. Project: build a complete fictional brand — logo, packaging, product photography, and ad creative.
Week 6 — AI Design & Presentations: Canva, Gamma, and Adobe Firefly for presentations, posters, and brand kits. Project: a full marketing campaign — deck, poster, Instagram post, and ad.
Weeks 7-8 — AI Video, Voice & Music: Runway, Kling, Pika, HeyGen, and Synthesia for text-to-video and AI avatars; ElevenLabs and Suno/Udio for voice cloning and AI music. Project: a 30-60 second AI advertisement combining image, video, voice, music, and script.
Week 9 — AI-Assisted Coding: ChatGPT, Claude, GitHub Copilot, Cursor, and Windsurf for real HTML/CSS/JavaScript/Python/React work, including AI-assisted debugging and refactoring.
Week 10 — AI App Development: no-code/low-code AI app builders — Lovable, Bolt, Replit, v0 — following a Prompt → UI → Backend → Database → Deployment workflow. Project: a working Student Management System with login, dashboard, and CRUD operations.
Week 11 — AI Automation: connecting AI to real business processes using n8n, Make, and Zapier. Project: an AI email automation pipeline that reads, categorises, stores, and responds to enquiries automatically.
Week 12 — AI Agents, RAG & Capstone: the real difference between a chatbot, a workflow, and an agent; tool-calling, memory, and Retrieval-Augmented Generation (RAG); multi-step autonomous tasks with human approval checkpoints — closing with a capstone project that pulls the whole course together.
Why "business-problem-first" matters more than tool count
Tools change fast — the specific AI video generator or image model that's best today may not be the leader in a year. What doesn't change as fast is the underlying skill: knowing which category of AI tool solves which category of problem, how to prompt any model effectively regardless of vendor, and how to chain multiple AI tools into a finished, deliverable output. That's the actual skill this course builds — students finish able to evaluate and adopt new AI tools on their own, not just operate the specific ones taught in week 5.
Realistic career outcomes
Graduates are positioned for GenAI Specialist, Prompt Engineer, AI Content Creator, AI Product Designer, AI Automation Consultant, AI Solutions Architect, and freelance AI-expert work. The freelance path is genuinely realistic here — because the course spans image, video, copy, automation, and light coding, graduates can offer a broader AI-services package to small business clients than someone who only learned one narrow AI skill.
FAQ
Q1. What is the fee for the GenAI & Prompt Engineering course at MITS Academy? ₹30,000–₹42,000 for the full 12-week, 36-session programme. Prices are indicative and can vary with batch timing and active discounts — contact the centre for current pricing.
Q2. Do I need coding experience to join? No. The course is designed for any graduate or working professional and starts from AI foundations assuming no technical background. The AI-assisted coding and app-development modules (weeks 9-10) use AI tools to write and build for you — you don't need to already know how to code.
Q3. Is this just "how to use ChatGPT," or does it go deeper? It goes considerably deeper. Prompting is taught properly (structured frameworks, chain-of-thought, prompt chaining) across weeks 2-3, but the course then spends 9 more weeks on research, image/video/voice generation, AI-assisted coding, no-code app building, automation, and agentic AI with RAG — a genuinely broad, project-driven curriculum, not a single-tool tutorial.
Q4. What can I actually do after finishing — freelance, or do I need a job? Both are realistic paths. Graduates go on to GenAI Specialist, Prompt Engineer, and AI Automation Consultant roles at companies, and also build freelance income from AI content, design, and automation services — the course's breadth across multiple AI domains supports either direction.
Q5. Is there a free demo class before I enrol? Yes — free demo classes run every Saturday at all three MITS Academy centres (Amritsar, Jalandhar, and Ludhiana).
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