What will I learn in the AI & Automation Specialist program?

The AI & Automation Specialist program at White Banger Academy provides hands-on training with live projects, industry tools, and a curriculum designed with input from hiring partners. You will gain practical skills directly applicable to real-world job roles.

What certificate do I get after completing the course?

You receive a White Banger Specialised Diploma, widely recognised by our 500+ hiring partner network. The certificate is issued after successful completion of coursework and a final assessment.

What is the course fee and are there EMI options?

Course fees vary by duration (3 / 6 / 12 months). We offer flexible EMI payment options. Please fill our enquiry form or WhatsApp +91 97283-20132 for the current fee schedule.

Is placement guaranteed after completing the course?

White Banger provides 100% placement support — not a guarantee of employment, but active assistance including resume building, mock interviews, and direct referrals to our 500+ hiring partners. Our placement rate is 92%.

Do I need any prior experience to enroll?

No prior experience is required. The program is structured to take students from beginner to job-ready. Basic English literacy and access to a computer are sufficient to get started.

AI & Automation Specialist | Diploma in AI Automation & Systems Certification Program

About This Program

Hands-on AI automation training. 30+ modules, 2 hours/day. For professionals, students, and entrepreneurs. Automate workflows, reduce manual work, and build AI systems. Live projects and automation scripts.

🎓WB Specialised Diploma Program

💼Placement Support Included

🏫Live Projects & Portfolio

🚀Industry-Relevant Curriculum

🤖AI Tools Integration

📋Beginner to Pro Track

Course Curriculum

AI landscape: types of AI (narrow/weak, general/AGI, superintelligence), history (Turing, Deep Blue, AlphaGo, GPT, ChatGPT)
Current AI applications: NLP (ChatGPT, Claude), computer vision (DALL-E, Midjourney), predictive analytics, generative AI, RPA
Automation frameworks: rule-based vs AI-based automation; ROI of automation; automation maturity model
Setting up AI workspace: creating accounts (OpenAI, Anthropic, Google, Microsoft), browser extensions, API key management

Prompt engineering fundamentals: what is a prompt, context window, token limits, temperature settings
Zero-shot prompting: asking AI to complete tasks without examples
Few-shot prompting: providing examples within the prompt for consistent outputs
Chain-of-thought prompting: step-by-step reasoning for complex problems
Role-based prompting: assigning personas to AI for domain-specific responses
ChatGPT (GPT-4o): business writing, research, summarisation, data analysis (Code Interpreter), image generation with DALL-E 3, custom instructions, memory management, GPT Store exploration
Claude (Anthropic): XML-based prompting, long-context document analysis, system prompts, multi-turn conversation design
Gemini (Google): Google Workspace integration (Gmail drafting, Docs, Sheets, Slides), multi-modal inputs (image+text), Google Search grounding
Microsoft Copilot: Office 365 integration — Word (document drafting, editing), Excel (formula generation, data analysis), PowerPoint (presentation creation from outline), Outlook (email drafting and summarisation), Teams meeting summaries
Prompt templates library: creating reusable prompts for business tasks (report writing, email responses, social media content, code generation, data analysis, customer service)
Advanced techniques: prompt chaining (output of one prompt as input to next), meta-prompting, RAG (Retrieval-Augmented Generation) concepts, AI agents overview

Zapier: account setup, understanding triggers and actions; creating multi-step Zaps; Zapier filters (condition-based routing); Zapier formatter (text, numbers, dates transformation); Zapier paths (if/else branching); practical automations: new email → create CRM lead, new form submission → send Slack notification → create Google Sheet row → send welcome email
Make (formerly Integromat): scenario builder, modules (triggers, actions, search, aggregators, iterators); routers for conditional branching; error handling; webhooks; scheduling; complex multi-step scenarios; data transformation with built-in functions; connecting 500+ apps
n8n (open-source): node-based workflow editor; core node types (HTTP Request, Code, If, Merge, Set, Function); webhook triggers; self-hosted deployment on local machine/Docker; connecting to databases; REST API calls; building automation that calls AI APIs
Microsoft Power Automate: cloud flows (automated, instant, scheduled); desktop flows (UI automation for Windows apps); SharePoint document management automation; Teams notification automation; Approval workflows
IFTTT basics: simple trigger-action automations; useful for personal productivity

AI for content creation: blog post drafting (outline → draft → edit → SEO optimise), copywriting (ad copy, product descriptions, emails), AI editing (Grammarly AI, ProWritingAid), summarising long documents, meeting notes
AI for customer service: chatbot creation with Tidio (live chat + AI); Landbot for conversational forms and lead capture; Voiceflow for multi-platform chatbot building (website, WhatsApp, Alexa)
AI for data analysis: ChatGPT Code Interpreter — uploading CSV, asking questions, generating visualisations, running Python analysis; Julius.ai for spreadsheet analysis; Rows.com for AI-powered spreadsheets
AI for presentations: Gamma.app (prompt-to-presentation), Beautiful.ai, Tome; AI for design: Canva Magic Design, Adobe Firefly
Meeting and note-taking AI: Otter.ai (real-time transcription, action items), Fireflies.ai (meeting recording + summary + CRM sync), Notion AI (meeting notes analysis, task extraction)
AI for HR and recruitment: JD creation with ChatGPT, resume screening prompts, interview question generation by competency, offer letter drafting, onboarding document creation
AI for legal and compliance (intro): contract review with Claude, NDA summarisation, policy document analysis

Midjourney v6: Discord setup, /imagine command, prompt anatomy (subject + style + mood + lighting + camera + aspect ratio), --ar (aspect ratio), --style raw, --sref (style reference URL), --cref (character reference), --seed for consistency, upscaling (U1–U4), variations (V1–V4), Pan and Zoom, niji mode for anime style
DALL-E 3 via ChatGPT: detailed text-to-image prompting, in-painting (select area to edit), consistent character design across multiple images
Stable Diffusion (intro): Automatic1111 WebUI setup, base models vs LoRA, txt2img, img2img, ControlNet for pose/composition control, Civitai for model downloads
AI video tools: Runway ML (Gen-3 Alpha for text-to-video, image-to-video), Pika Labs (video generation and editing), HeyGen (AI avatar video creation, voice cloning for multilingual videos), Kling AI
Canva AI video: video creation from script, Magic Media, AI voiceover

OpenAI Assistants API: creating AI assistants with custom instructions, file search (retrieval), code interpreter tool, function calling (custom tools); Playground exploration; managing threads and conversations
Custom GPT creation: building GPTs for specific use cases (customer support bot, content assistant, data analyser), configuring tools (web browsing, DALL-E, code interpreter), knowledge files upload, publishing to GPT Store
AI agents concepts: what are AI agents, ReAct pattern (Reason + Act), tool use; AutoGPT overview; CrewAI: multi-agent systems where agents collaborate to complete complex tasks; practical agent building with n8n + AI nodes
No-code AI chatbots: Voiceflow complete walkthrough — intent recognition, entity extraction, conversation flows, API connections, deploying to website (embed), WhatsApp Business API, Telegram; Botpress: conversational AI platform, knowledge base integration
AI for lead generation and sales automation: n8n + Apollo.io + GPT-4 for personalised cold email campaigns; Phantombuster for LinkedIn automation; Clay.com for AI-enriched lead lists
Business process automation with AI: automating social media posting (Buffer + GPT), automated customer support ticket categorisation and response drafting, AI-powered report generation, invoice processing automation

Project 1: Design and implement an end-to-end business automation pipeline (e.g., lead form submission → CRM entry → personalised email → Slack notification → Google Sheet logging, using n8n/Zapier + GPT API)
Project 2: Build and deploy a customer-facing AI chatbot (product FAQ bot or appointment booking bot using Voiceflow, deployed on a test website)
Project 3: Create an AI-powered content creation workflow (generate weekly blog content → create social media posts → design graphics → schedule posting, using AI tools + Canva + Buffer)
Portfolio documentation: case study writeup for each project; recording demo videos; LinkedIn profile update with AI/automation skills
Certification preparation: AI tool certifications (Zapier Certified Expert intro, Google AI Essentials, Microsoft AI Fundamentals overview)

Tools & Technologies

ChatGPT (GPT-4o) Claude (Anthropic) Gemini Microsoft Copilot Midjourney v6 DALL-E 3 Stable Diffusion (intro) Runway ML HeyGen Zapier Make n8n Power Automate Voiceflow Tidio Landbot

Career Progression

AI Intern

AI Executive

Automation Specialist

AI Consultant

AI & Automation Specialist

About This Program

Course Curriculum

Tools & Technologies

Career Progression

Frequently Asked Questions

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