AI Development

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AI Development Course – Build Intelligent AI Applications from Scratch

What Is This Digital Marketing Course About?

Step into the future of technology with our AI Development Course, designed to help you build intelligent applications using Artificial Intelligence, Machine Learning, and Generative AI. Learn industry-leading tools such as Python, TensorFlow, PyTorch, OpenAI API, LangChain, Hugging Face, Vector Databases, and AI Agents. Through hands-on projects, real-world case studies, and live coding sessions, you’ll gain the practical skills required to develop AI-powered applications and become job-ready for today’s rapidly growing AI industry.

Benefits of Learning AI Development

Master AI Development with Real-Time Projects

Our AI Development course takes you from the fundamentals of Python programming to building advanced AI solutions. You’ll learn Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Agents, API integration, model deployment, and cloud-based AI services. By working on industry-relevant projects such as AI chatbots, document assistants, recommendation systems, and intelligent automation tools, you’ll build a strong portfolio and gain the confidence to pursue a successful career in AI Development.

What You'll Learn

Course Details:

Course Price:

$1500

Lesson Duration

12 Weeks

Places for Students

12

Language:

English, Spanish, French

Certifications

Digital, Physical

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Career Outcomes

Where This Course Can Take You

AI development is one of the fastest-growing fields in tech hiring right now. Once you complete this course, you can move into roles like:

Average Salary of
AI Developers

₹5L – ₹9L ₹10L – ₹18L ₹18L – ₹30L Fresher 3+ Years 5+ Years

In-Demand Roles

AI Application Developer Machine Learning Engineer Prompt Engineer AI Product Engineer Generative AI Developer

Upcoming Batches

Your next batch is almost here

Pick the mode that fits your schedule — same curriculum, same mentors, same outcomes.

Weekday 18 seats left

Full Stack Development

Starts Aug 3 7:00 – 9:00 AM

Mon – Fri  ·  Live Interactive Classes

Reserve This Batch
Weekend 9 seats left

Full Stack Development

Starts Aug 8 10:00 AM – 1:00 PM

Sat – Sun  ·  Live Interactive Classes

Reserve This Batch
Weekday 12 seats left

Full Stack Development

Starts Aug 5 9:00 AM – 12:00 PM

Mon – Fri  ·  Chennai Campus

Reserve This Batch
Weekend 6 seats left

Full Stack Development

Starts Aug 10 2:00 – 5:00 PM

Sat – Sun  ·  Chennai Campus

Reserve This Batch

Tools You'll Use

Not just tool names — real, working skills

Explore what you'll actually do with each tool while building AI applications.

Python
PythonBuild AI application logic & pipelines
PyTorch
PyTorchFine-tune and experiment with models
FastAPI
FastAPIServe your AI models as APIs
OpenAI
OpenAI APICall GPT models for chat & generation
Anthropic
Anthropic Claude APIBuild reliable, structured AI outputs
Gemini
Google Gemini APIAccess multimodal AI capabilities
Pinecone
PineconeStore & search embeddings for RAG systems
ChromaDB
ChromaDBRun a lightweight local vector database
LangChain
LangChainBuild retrieval & agent workflows
Docker
DockerPackage your AI application for deployment
AWS
AWSHost and scale your AI application
GitHub
GitHubVersion control your AI project

Admissions Open

Your Next Career Starts With
One Decision.

Seats for the next batch are limited. If you've been thinking about a career in digital marketing, this is the moment to stop thinking and start learning.

Learners already building new careers

Seats filled 10/15

Only 5 seats left for this batch

Reserve My Seat Download Curriculum

Zero-cost EMI  ·  7-day refund policy

Course Curriculum

Master AI Development, module by module

From LLM APIs to AI agents — a curriculum built to help you build and ship real AI-powered applications in 2026.

8Modules
12Weeks
45+Practical Lessons
  • How machine learning & AI models actually work
  • Types of AI — predictive, generative, agentic
  • Understanding model limitations & hallucination
  • Python fundamentals for AI workflows
  • Working with APIs & JSON data
  • Virtual environments & dependency management
  • Writing effective, reliable prompts
  • Calling LLM APIs (OpenAI, Anthropic, Gemini)
  • Structured outputs & function calling
  • Managing context windows & token costs
  • Embeddings & vector databases (Pinecone, Chroma)
  • Building a document Q&A system
  • Chunking strategies & retrieval accuracy
  • Building AI agents that use tools & take actions
  • Multi-step reasoning & agent frameworks
  • Connecting agents to real APIs & workflows
  • When to fine-tune vs. prompt vs. RAG
  • Preparing training data for fine-tuning
  • Evaluating model outputs
  • Deploying AI apps to production
  • Monitoring cost, latency & output quality
  • Responsible AI & safety guardrails
  • Plan and build a real AI-powered application
  • Combine RAG, prompts & agent logic
  • Deploy & present a portfolio-ready project

Career Outcomes

Placement Partners

Our learners get placed at these companies — real hiring partners, not a wishlist.

TCSTCS InfosysInfosys WiproWipro AccentureAccenture CognizantCognizant CapgeminiCapgemini HCLTechHCLTech Tech MahindraTech Mahindra IBMIBM OracleOracle DeloitteDeloitte AmazonAmazon MicrosoftMicrosoft GoogleGoogle

Delivery Framework

How the Programme Works

  1. Step 1

    Explore an interactive step-by-step journey.

  2. Step 2

    Guided onboarding and basics

  3. Step 3

    Expert-Led Structured modules

  4. Step 4

    Hands-On Practice

  5. Step 5

    Industry Tool Mastery

  6. Step 6

    Portfolio and interview prep

Career Journeys — Success Stories
Real Outcomes

Every ticket tells a career transformation

From where they started to where they landed — mentored, upskilled, and placed with confidence.

Got Questions?

Everything you need to know

Course details, career outcomes, market demand, and placement support — all in one place.

You'll cover SEO, GEO/AEO (AI search optimization), Google & Meta Ads, social media marketing, email marketing, analytics, and a full capstone campaign — 12 modules in total, from fundamentals to execution.

Yes. Module 1 starts from the basics of how digital marketing works — no prior marketing or technical background is assumed.

The full program runs 16 weeks across 12 modules, with both weekday and weekend batch options, online or offline.

Yes — every module includes practical exercises, and the course ends with a capstone project: a real multi-channel campaign you plan, execute, and report on end-to-end.

Roles like SEO Executive, Performance Marketing Executive, Social Media Marketer, Content Marketer, and Digital Marketing Associate are all realistic starting points.

Yes — many learners join from non-marketing backgrounds. The curriculum is built to take you from zero to job-ready without assuming prior experience.

No coding required. Basic familiarity with tools like Google Analytics or spreadsheets helps, but you'll pick that up naturally during the course.

Most start as an Executive/Associate, move to Senior Executive within 1–2 years, then into Team Lead or Specialist roles (SEO Lead, Paid Media Manager) as experience builds.

Yes — the channels are evolving (AI search, privacy-first targeting), but the function itself isn't going away. Businesses of every size still need people who can plan, run, and measure marketing.

AI is automating repetitive execution work, which is exactly why this course includes GEO/AEO and AI-assisted workflows — so you're trained on the skills AI can't easily replace, like strategy, judgment, and campaign oversight.

Practically every industry — e-commerce, healthcare, education, SaaS, real estate, and agencies serving all of the above. It's one of the more portable skill sets across sectors.

Yes — many learners freelance or join agencies right after, since the skills (SEO, ads, content, analytics) are exactly what small businesses hire freelancers for.

Yes — resume reviews, mock interviews, and direct referrals into our hiring partner network are included as part of the program.

We provide active placement support, not a guaranteed offer — outcomes depend on your portfolio, interview performance, and market conditions at the time you complete the course.

Resume and interview prep begin around Module 9, so you're ready to start applying as soon as you finish the capstone project — not months afterward.

Placement support isn't a one-time referral — you continue to get access to new openings, mentor check-ins, and mock interview practice until you land a role.

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