🎓
Online IT Training
One-month practical programs in AI, data, Salesforce, business analysis, Scrum, web development and software development.
30-Day AI, IT & Business Automation Programs
AI for Tech: premium AI and IT training for the modern workforce.
AI for Tech provides one-month professional online training, AI business consulting, business automation strategy, AI voice solutions, call center development concepts and custom software development training for students, professionals, entrepreneurs and corporate teams.
19Courses and AI business solution tracks
30Days / one-month structure for every course
AICareer, business and automation focused learning
All Courses30-day syllabus included
AI Q&ACourse-wise samples
Learning StudioStructured course experience
Contact TeamCall or WhatsApp advisors
Business Platform
Training, consulting and AI automation under one professional brand.
AI for Tech is built for learners and businesses that want practical skills, implementation clarity and modern AI transformation.
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AI Development
Generative AI, AI agents, Agentic AI, LLM development, fine-tuning concepts, RAG and corporate AI infrastructure training.
⚙️
Business Automation
Lead capture, CRM workflows, WhatsApp follow-up, AI chatbots, dashboards, reporting and customer support automation strategy.
☎️
Voice & Call AI
AI voice agents, AI call center development, AI IPPBX solution concepts, call routing, transcripts, summaries and CRM integration planning.
Course Catalog
All AI for Tech courses complete in 30 days.
Each program is structured as a one-month course. Advanced courses have higher daily hours but still complete within 30 days.
AI SEO
Master AI-powered SEO, keyword research, content strategy, on-page optimization, local SEO, competitor analysis, blog automation and organic growth workflows.
View SyllabusAI for Web Development
Build modern websites, landing pages, dashboards and business portals using HTML, CSS, JavaScript and AI-assisted coding.
View SyllabusBusiness Analyst
Learn requirement gathering, BRD, FRD, SRS, PRD, user stories, process flows, stakeholder management, Agile BA work and AI documentation.
View SyllabusSalesforce Admin
Learn Salesforce CRM administration, users, profiles, roles, objects, fields, automation, reports, dashboards and real-time CRM setup.
View SyllabusData Analyst
Learn Excel, SQL, Python, data cleaning, dashboards, KPI reporting, business insights and AI-powered analytics.
View SyllabusData Science
Learn statistics, Python, EDA, machine learning, NLP basics, model evaluation, deployment concepts and AI/ML project lifecycle.
View SyllabusScrum Master
Learn Agile, Scrum framework, Scrum events, roles, artifacts, Jira workflow, servant leadership and real-time Scrum Master scenarios.
View SyllabusGenerative AI
Learn prompt engineering, LLMs, AI tools, APIs, RAG, chatbots, document Q&A, business use cases and AI application development.
View SyllabusAI Agents
Build AI agents that can use tools, call APIs, search documents, query databases, manage memory and automate business tasks.
View SyllabusAgentic AI
Learn multi-agent systems, planner agents, researcher agents, workflow graphs, human approval, enterprise use cases and agentic AI architecture.
View SyllabusLLM Fine-Tuning
Learn dataset preparation, instruction tuning, JSONL data, evaluation, domain adaptation and how to decide between prompting, RAG and fine-tuning.
View SyllabusLLM Development
Understand tokenization, embeddings, attention, transformers, inference, local LLMs, RAG architecture, model serving and LLMOps.
View SyllabusCorporate AI Development Infrastructure Training
Train teams to plan AI infrastructure, model providers, AI gateways, RAG, vector databases, security, governance, deployment and enterprise AI roadmaps.
View SyllabusBusiness Automation
Automate lead capture, CRM, WhatsApp, email, appointment booking, customer support, reporting and business workflows using AI.
View SyllabusBusiness Solutions with AI
Identify business problems and design AI solutions for sales, support, marketing, HR, training, operations and management.
View SyllabusCustom Software Development Training
Learn to plan, design, develop and deploy custom business software such as CRM, LMS, dashboards, booking systems and AI portals.
View SyllabusAI Voice Agents
Design AI voice agents for reception, course enquiries, appointment booking, customer support, lead qualification and business communication.
View SyllabusAI Call Centers Development
Design AI call center systems for inbound support, outbound calls, IVR, routing, lead qualification, transcripts, analytics and CRM integration.
View SyllabusAI IPPBX Solutions
Learn AI-enabled IPPBX concepts including SIP, extensions, routing, IVR, AI receptionist, transcripts, CRM integration and call summaries.
View SyllabusAI Course Advisor
Guide visitors to the right course or AI business solution.
This interactive advisor gives instant front-end guidance based on visitor questions. It supports training, business automation, corporate AI infrastructure, AI voice agents, AI call center and IPPBX solution enquiries.
✓Recommends suitable 30-day programs based on goals
✓Answers course, career and business solution questions
✓Encourages serious visitors to submit the enquiry form
✓Supports course discovery without overwhelming the visitor
Ask AI for Tech Advisor
Ask about the best course, daily hours, project work, career direction, corporate training or AI automation needs.
Hello. I am the AI for Tech Advisor trained on this page’s course content. Ask me about course selection, 30-day syllabus, daily hours, projects, tools, career direction, corporate training, automation, voice agents or call center solutions.
Learning Experience
Professional course journey for students and corporate teams.
Each program follows a clear 30-day flow: foundations, tools, workflows, real-time projects, AI Q&A, final implementation and career or business guidance.
01
Foundation
Understand concepts, terminology, business use cases and the practical roadmap.
View Courses02
Tools
Learn relevant tools, platforms, prompts, workflows, APIs and professional project methods.
View Syllabus03
Projects
Build real-time projects, business documents, dashboards, AI assistants and automation blueprints.
Explore Projects04
Outcome
Complete portfolio outputs, interview preparation, consulting blueprint or implementation plan.
EnquireComplete Course Content
Complete curriculum for every AI for Tech program.
Every course section below contains overview, tools, outcomes, 30-day curriculum, projects, FAQs and AI Q&A samples for clear visitor understanding.
AI Digital Marketing
AI SEO
Master AI-powered SEO, keyword research, content strategy, on-page optimization, local SEO, competitor analysis, blog automation and organic growth workflows.
Who Should Join
Digital marketers, SEO professionals, freelancers, business owners, bloggers, agencies and students.
Learning Outcomes
- Create AI SEO strategy
- Build keyword clusters
- Generate content calendars
- Optimize pages
- Prepare SEO reports
Tools Covered
30-Day Curriculum
Days 1–3: SEO Foundations
Search engines, ranking factors, keywords, user intent, website structure and SEO project planning.
Days 4–7: AI Keyword Research
Seed keywords, long-tail keywords, buyer intent, keyword clustering and competitor keyword research.
Days 8–12: AI Content Strategy
Topic authority, content calendars, blog outlines, content briefs, content scoring and prompt templates.
Days 13–17: On-Page SEO with AI
Meta titles, descriptions, headings, internal links, schema basics and content optimization.
Days 18–21: Technical & Local SEO
Indexing, speed basics, local business pages, Google Business Profile and local content.
Days 22–26: SEO Automation
Bulk idea generation, reporting automation, content workflow systems and quality review.
Days 27–30: Final Project
Complete AI SEO strategy, optimized page, report template and content calendar.
Real-Time Projects
- 30-day AI SEO content calendar
- Keyword cluster map
- Optimized service page
- Local SEO plan
- Monthly SEO report
AI Question & Answer Samples
AI Question: Can AI improve Google ranking?
AI can support research, optimization and content planning, but ranking also depends on quality, authority, backlinks, speed and user experience.
AI Question: Which AI tool is best for SEO?
Use ChatGPT, Gemini or Claude for content strategy, Perplexity for research and SEO tools for keyword validation.
Course FAQs
Yes. It starts from SEO basics and then adds AI tools for faster execution.
AI can draft content, but human review, fact-checking and brand correction are required.
No coding is required.
Yes. Business owners can use this to improve organic visibility.
You will create an AI-powered SEO plan, content calendar and optimized pages.
Web Development
AI for Web Development
Build modern websites, landing pages, dashboards and business portals using HTML, CSS, JavaScript and AI-assisted coding.
Who Should Join
Students, beginners, freelancers, trainers, business owners and people who want to build websites using AI.
Learning Outcomes
- Build responsive websites
- Use AI for coding
- Create professional landing pages
- Add forms
- Deploy websites
Tools Covered
30-Day Curriculum
Days 1–3: Web Basics
How websites work, frontend basics, hosting, domains and project planning.
Days 4–8: HTML with AI
Semantic HTML, page structure, forms, navigation, sections and SEO tags.
Days 9–13: CSS with AI
Layouts, gradients, glassmorphism, responsive design, cards, buttons and animations.
Days 14–18: JavaScript Basics
DOM, events, accordions, modals, form validation and interactive sections.
Days 19–23: AI Coding Workflow
Prompting AI for code, debugging, refactoring, reviewing and improving UI.
Days 24–27: Website Projects
Landing page, course website, contact form and dashboard-style UI.
Days 28–30: Deployment
Testing, performance checklist, publishing and final project presentation.
Real-Time Projects
- Training institute website
- AI course landing page
- Business consulting website
- Contact form page
- LMS preview
AI Question & Answer Samples
AI Question: Can AI build a website?
AI can generate code and design ideas, but you must test, customize and deploy it.
AI Question: What should I give AI to create a website?
Give brand name, audience, sections, colors, content, features, responsiveness and style.
Course FAQs
No. The course starts with fundamentals and uses AI-assisted coding.
Yes. You can build websites and landing pages.
This course focuses on frontend/development. Backend is advanced scope.
Yes. You can embed chatbot scripts from a platform.
You will build and deploy professional websites.
Business Analysis
Business Analyst
Learn requirement gathering, BRD, FRD, SRS, PRD, user stories, process flows, stakeholder management, Agile BA work and AI documentation.
Who Should Join
Freshers, non-technical professionals, project coordinators, domain experts and people moving into IT.
Learning Outcomes
- Create BRD/FRD/SRS
- Write user stories
- Handle requirements
- Support Agile teams
- Use AI for BA documentation
Tools Covered
30-Day Curriculum
Days 1–3: BA Role
BA responsibilities, SDLC, Agile vs Waterfall, communication and documentation mindset.
Days 4–8: Requirement Gathering
Interviews, workshops, questionnaires, stakeholder discovery and requirement validation.
Days 9–13: BA Documents
BRD, FRD, SRS, PRD, requirement traceability and approval process.
Days 14–18: User Stories & Use Cases
Epics, features, user stories, acceptance criteria and use-case writing.
Days 19–22: Process Modeling
As-is/to-be process, flowcharts, swimlanes and business rules.
Days 23–26: Agile BA & Jira
Backlog, sprint planning support, UAT, Jira workflow and release support.
Days 27–30: AI BA Final Project
AI-generated BRD, user stories, risks, process flow and final presentation.
Real-Time Projects
- BRD for LMS platform
- FRD for CRM automation
- User stories for course portal
- Process flow for lead management
- AI PRD for business app
AI Question & Answer Samples
AI Question: What is BRD?
BRD is a Business Requirements Document that explains business goals, needs and high-level requirements.
AI Question: What is the difference between FRD and SRS?
FRD focuses on functional behavior. SRS is a more complete system requirement specification.
Course FAQs
It connects business and technology. Coding is not mandatory.
Yes. Domain knowledge is useful.
Yes. Jira and Agile workflows are included.
AI assists documentation, but human communication and judgment remain essential.
BRD, FRD, SRS, PRD, user stories, use cases, process flows and UAT.
CRM
Salesforce Admin
Learn Salesforce CRM administration, users, profiles, roles, objects, fields, automation, reports, dashboards and real-time CRM setup.
Who Should Join
Freshers, CRM users, sales/support professionals, Business Analysts and people targeting Salesforce Admin roles.
Learning Outcomes
- Configure Salesforce
- Manage security
- Create objects and fields
- Build reports
- Automate workflows
Tools Covered
30-Day Curriculum
Days 1–3: Salesforce Basics
CRM concepts, Salesforce ecosystem, navigation, admin role and org setup.
Days 4–8: Data Model
Objects, fields, relationships, page layouts and record types.
Days 9–12: User Management
Users, profiles, roles, permission sets and login policies.
Days 13–17: Security
Object, field and record-level security, OWD, role hierarchy and sharing.
Days 18–22: Automation
Validation rules, Flow Builder, approval processes and email alerts.
Days 23–26: Reports & Data
Reports, dashboards, import/export, duplicate management and data quality.
Days 27–30: CRM Project
Lead process, opportunity pipeline, support cases, automation and dashboard.
Real-Time Projects
- Sales CRM setup
- Lead assignment workflow
- Support case process
- Sales dashboard
- Discount approval automation
AI Question & Answer Samples
AI Question: What is profile vs role?
Profile controls permissions; role controls record visibility hierarchy.
AI Question: Can Salesforce automate lead follow-up?
Yes. It can automate lead assignment, reminders and emails.
Course FAQs
No. Admin work is configuration-focused.
Yes. It is a strong CRM career path.
Yes. Practice is done in Salesforce developer org.
A no-code Salesforce automation builder.
Yes. Salesforce is useful for CRM projects.
Data
Data Analyst
Learn Excel, SQL, Python, data cleaning, dashboards, KPI reporting, business insights and AI-powered analytics.
Who Should Join
Freshers, Excel users, business professionals, operations teams, BAs and people entering analytics.
Learning Outcomes
- Clean data
- Write SQL
- Analyze KPIs
- Build dashboards
- Use AI for insights
Tools Covered
30-Day Curriculum
Days 1–3: Analytics Foundations
Data analyst role, data types, KPIs, business questions and reporting mindset.
Days 4–8: Excel Analytics
Formulas, pivots, charts, cleaning and dashboard basics.
Days 9–13: SQL
Select, filters, joins, group by, aggregations and business queries.
Days 14–18: Python for Data
Python basics, Pandas, NumPy, dataframes and cleaning.
Days 19–22: Visualization
Chart selection, dashboard layout, filters and storytelling.
Days 23–26: AI for Analytics
AI prompts for insights, SQL help, report summaries and trend explanations.
Days 27–30: Portfolio Project
Clean dataset, analyze, build dashboard and present business insights.
Real-Time Projects
- Sales dashboard
- Customer churn analysis
- Marketing report
- HR analytics dashboard
- AI data insight assistant
AI Question & Answer Samples
AI Question: SQL or Python first?
Start with SQL for data extraction, then Python for cleaning and automation.
AI Question: Can AI analyze Excel data?
Yes, but the analyst must validate the results.
Course FAQs
Yes. It is a strong entry path into data careers.
Python helps, but Excel and SQL are also covered.
Yes. Dashboard design and KPI reporting are included.
Yes. AI can explain data, write SQL and summarize insights.
Portfolio dashboards and business reports.
Data & AI
Data Science
Learn statistics, Python, EDA, machine learning, NLP basics, model evaluation, deployment concepts and AI/ML project lifecycle.
Who Should Join
Data analysts, Python learners, engineering students, IT professionals and AI career aspirants.
Learning Outcomes
- Build ML models
- Perform EDA
- Evaluate models
- Create ML projects
- Deploy simple demos
Tools Covered
30-Day Curriculum
Days 1–4: Python & Statistics
Python refresh, data structures, probability, distributions and practical statistics.
Days 5–9: Data Preparation
Cleaning, missing values, outliers, encoding, scaling and feature preparation.
Days 10–14: EDA & Visualization
Exploratory analysis, charts, correlations and business interpretation.
Days 15–19: Supervised Learning
Regression, classification, train-test split, metrics and model selection.
Days 20–23: Unsupervised Learning
Clustering, segmentation, dimensionality reduction and evaluation.
Days 24–26: NLP & AI Basics
Text cleaning, vectorization, sentiment analysis, embeddings and LLM overview.
Days 27–30: Final ML Project
Build, evaluate, present and deploy a simple ML project.
Real-Time Projects
- House price prediction
- Loan approval prediction
- Customer churn model
- Sentiment analysis
- Recommendation demo
AI Question & Answer Samples
AI Question: What is model evaluation?
It measures model performance using metrics like accuracy, precision, recall, F1 or RMSE.
AI Question: What is feature engineering?
Creating or transforming input variables to improve model performance.
Course FAQs
Basic statistics is needed and taught practically.
Yes. Python is the main language.
Yes. Multiple ML projects are included.
Data Analyst focuses on reporting; Data Science focuses on prediction and models.
Yes. AI will support explanation, coding and project work.
Agile
Scrum Master
Learn Agile, Scrum framework, Scrum events, roles, artifacts, Jira workflow, servant leadership and real-time Scrum Master scenarios.
Who Should Join
Freshers, project coordinators, BAs, QA professionals, team leads and Scrum Master aspirants.
Learning Outcomes
- Facilitate Scrum events
- Manage impediments
- Use Jira
- Track metrics
- Prepare for interviews
Tools Covered
30-Day Curriculum
Days 1–4: Agile Basics
Agile values, principles, Waterfall vs Agile and team mindset.
Days 5–9: Scrum Framework
Roles, events, artifacts, sprint cycle and definition of done.
Days 10–14: Scrum Events
Sprint planning, daily scrum, review, retrospective and refinement.
Days 15–18: Scrum Master Role
Servant leadership, impediments, coaching and conflict handling.
Days 19–22: Jira Scrum
Projects, boards, backlog, sprints and reports.
Days 23–26: Metrics & Scenarios
Velocity, burndown, cycle time, team health and real scenarios.
Days 27–30: Interview & Simulation
Mock project, interview questions and scenario answers.
Real-Time Projects
- Jira Scrum board
- Sprint planning simulation
- Agile case study
- Product backlog
- Scrum interview Q&A
AI Question & Answer Samples
AI Question: What does a Scrum Master do daily?
Facilitates events, removes blockers, supports Agile practices and helps the team collaborate.
AI Question: What is sprint planning?
A meeting where the team selects work for the upcoming sprint.
Course FAQs
Not mainly. It focuses on Agile facilitation and delivery.
Beginners can learn, but communication practice is important.
Yes. Jira boards and reports are included.
Helping teams succeed by removing blockers and enabling collaboration.
Yes. Scenario-based interview preparation is included.
Artificial Intelligence
Generative AI
Learn prompt engineering, LLMs, AI tools, APIs, RAG, chatbots, document Q&A, business use cases and AI application development.
Who Should Join
Students, developers, trainers, marketers, business owners, professionals and AI beginners.
Learning Outcomes
- Use LLMs effectively
- Build AI chatbots
- Create RAG apps
- Generate content
- Apply GenAI in business
Tools Covered
30-Day Curriculum
Days 1–3: GenAI Basics
What is GenAI, LLMs, tokens, prompts, limitations and use cases.
Days 4–8: Prompt Engineering
Role prompts, context, examples, output formats and prompt testing.
Days 9–12: AI Tools
ChatGPT, Gemini, Claude, Perplexity and workflow-based usage.
Days 13–17: LLM APIs
API basics, request/response, model selection, costs and safety.
Days 18–22: RAG
Embeddings, vector search, document loading, retrieval and AI answers.
Days 23–26: AI Apps
Chatbots, PDF Q&A, summarizers, content tools and business assistants.
Days 27–30: Final Project
Build a GenAI app and present business use case.
Real-Time Projects
- AI chatbot
- PDF Q&A assistant
- AI content generator
- Customer support assistant
- Business consultant bot
AI Question & Answer Samples
AI Question: What is the difference between ChatGPT and an AI app?
ChatGPT is a general tool; an AI app embeds AI inside a custom workflow or website.
AI Question: Can AI answer from my documents?
Yes, using RAG and a knowledge base.
Course FAQs
No. Non-technical users can learn tools; developers can build apps.
Python is useful for API projects.
Retrieval-Augmented Generation answers using external documents or knowledge bases.
Yes. Chatbot, PDF Q&A and business apps are included.
Yes. Sales, support, training, HR and documentation can benefit.
Artificial Intelligence
AI Agents
Build AI agents that can use tools, call APIs, search documents, query databases, manage memory and automate business tasks.
Who Should Join
Python developers, AI learners, automation builders, technical trainers, consultants and startup founders.
Learning Outcomes
- Build tool-using agents
- Create RAG agents
- Connect APIs
- Use memory
- Automate workflows
Tools Covered
30-Day Curriculum
Days 1–4: Agent Basics
Agent vs chatbot, tools, actions, observations and agent thinking.
Days 5–9: Tool Calling
Function tools, API tools, search tools, calculator tools and database tools.
Days 10–13: Memory
Conversation memory, vector memory, user context and limitations.
Days 14–18: Planning
Task breakdown, step execution, retries, reflection and approval.
Days 19–23: RAG Agents
Document retrieval, PDF agents, knowledge agents and evaluation.
Days 24–27: Business Agents
CRM follow-up, reports, emails, support and workflow automation.
Days 28–30: Final Agent Project
Build, test and present an AI agent application.
Real-Time Projects
- Web search agent
- PDF knowledge agent
- SQL query agent
- CRM follow-up agent
- Customer support agent
AI Question & Answer Samples
AI Question: What is tool calling?
It allows AI to request external functions like search, database lookup or CRM update.
AI Question: Can an AI agent send emails?
Yes, with secure email API integration and approval rules.
Course FAQs
An AI system that can use tools and perform actions to complete tasks.
Yes. A chatbot replies; an agent can plan and use tools.
Yes. Python is recommended.
Yes. They can help with support, reporting, lead follow-up and document search.
Yes. The course is project-based.
Advanced AI
Agentic AI
Learn multi-agent systems, planner agents, researcher agents, workflow graphs, human approval, enterprise use cases and agentic AI architecture.
Who Should Join
AI developers, technical founders, automation architects, senior trainers and corporate AI teams.
Learning Outcomes
- Design multi-agent systems
- Create workflow graphs
- Add human approval
- Build agent teams
- Deploy enterprise workflows
Tools Covered
30-Day Curriculum
Days 1–4: Agentic AI Architecture
Single vs multi-agent, planning, execution, state and evaluation.
Days 5–8: Agent Roles
Planner, researcher, writer, coder, reviewer and coordinator agents.
Days 9–13: Workflow Graphs
Nodes, edges, state, conditional routing and retries.
Days 14–18: Human-in-the-Loop
Approval, review, escalation, safety and audit checkpoints.
Days 19–23: Multi-Agent Collaboration
Task assignment, role prompts, shared memory and output validation.
Days 24–27: Enterprise Use Cases
Proposal generation, support, training, research and software workflows.
Days 28–30: Capstone
Build an agentic workflow and present architecture.
Real-Time Projects
- Multi-agent research assistant
- AI proposal team
- AI software workflow
- Training coordinator
- Agentic support workflow
AI Question & Answer Samples
AI Question: AI Agents vs Agentic AI?
AI Agents focus on individual agents. Agentic AI focuses on larger systems with planning, state and multiple agents.
AI Question: Why monitoring is important?
Multi-step workflows can fail or repeat without guardrails.
Course FAQs
Yes. Learn GenAI and AI Agents first.
Multiple specialized AI agents collaborating on complex tasks.
Human review or approval before important AI actions.
Yes. For support, operations, research and software workflows.
Yes. Python and AI agent knowledge are recommended.
Advanced AI
LLM Fine-Tuning
Learn dataset preparation, instruction tuning, JSONL data, evaluation, domain adaptation and how to decide between prompting, RAG and fine-tuning.
Who Should Join
AI developers, data scientists, ML engineers, technical trainers and corporate AI teams.
Learning Outcomes
- Prepare datasets
- Design instruction data
- Evaluate models
- Understand fine-tuning
- Plan domain adaptation
Tools Covered
30-Day Curriculum
Days 1–4: Fine-Tuning Basics
Pretraining vs fine-tuning, RAG vs fine-tuning, use cases and risks.
Days 5–9: Dataset Design
Instruction data, examples, quality, cleaning and formatting.
Days 10–13: JSONL Preparation
System, user and assistant messages, validation and data structure.
Days 14–18: Training Workflow
Model selection, files, training jobs, versioning and cost planning.
Days 19–22: Evaluation
Test prompts, rubrics, accuracy, style and safety checks.
Days 23–26: Domain Adaptation
Support bot, sales assistant, training advisor and company tone.
Days 27–30: Final Dataset Project
Prepare dataset, evaluation report and deployment plan.
Real-Time Projects
- Support fine-tuning dataset
- Course advisor dataset
- Sales assistant dataset
- Evaluation comparison
- Fine-tuning report
AI Question & Answer Samples
AI Question: When use RAG instead?
Use RAG when answers must come from documents or changing knowledge.
AI Question: What makes good dataset?
Clear instructions, high-quality answers, consistent format and validation.
Course FAQs
Adapting an existing model with examples for a specific task or behavior.
No. Many use cases are better with prompting or RAG.
Yes. High-quality examples are required.
No. Fine-tuning adapts an existing model.
Yes. Technical understanding is recommended.
Advanced AI
LLM Development
Understand tokenization, embeddings, attention, transformers, inference, local LLMs, RAG architecture, model serving and LLMOps.
Who Should Join
AI engineers, ML engineers, advanced Python developers, technical founders and corporate AI teams.
Learning Outcomes
- Understand transformers
- Build embedding search
- Run local LLM demos
- Design private assistants
- Understand LLMOps
Tools Covered
30-Day Curriculum
Days 1–4: NLP Foundations
Text processing, tokenization, vocabulary, embeddings and language modeling.
Days 5–9: Transformer Concepts
Attention, self-attention, positional encoding and decoder-only models.
Days 10–13: LLM Pipeline
Data, training concept, inference, sampling and evaluation.
Days 14–18: Embeddings & Search
Similarity search, vector DBs, chunking and retrieval quality.
Days 19–23: RAG Systems
Document loaders, chunking, retrieval, prompts and answer evaluation.
Days 24–27: Local LLMs & LLMOps
Local inference, quantization concepts, monitoring, latency and safety.
Days 28–30: Enterprise Blueprint
Private AI assistant and enterprise LLM architecture.
Real-Time Projects
- Tokenizer demo
- Embedding search
- Private document assistant
- Local LLM chatbot
- Enterprise LLM architecture
AI Question & Answer Samples
AI Question: What is tokenization?
Splitting text into tokens so models can process language numerically.
AI Question: What is attention?
A mechanism that helps models focus on relevant input parts.
Course FAQs
No. Learn Python, GenAI and AI Agents first.
Full scratch training requires large compute; this focuses on concepts and practical systems.
Yes. Local model concepts are included.
Deploying, monitoring and managing LLM applications.
Basic ML/deep learning understanding helps.
Corporate AI
Corporate AI Development Infrastructure Training
Train teams to plan AI infrastructure, model providers, AI gateways, RAG, vector databases, security, governance, deployment and enterprise AI roadmaps.
Who Should Join
Corporate IT teams, development teams, managers, solution architects and enterprise AI transformation teams.
Learning Outcomes
- Design AI infrastructure
- Plan RAG systems
- Select providers
- Manage security
- Create enterprise roadmap
Tools Covered
30-Day Curriculum
Days 1–4: AI Strategy
Use-case selection, readiness, value mapping, risk and roadmap.
Days 5–9: AI Architecture
Frontend, backend, AI gateway, databases and vector search.
Days 10–13: Provider Management
OpenAI, Gemini, Claude, OpenRouter, Ollama and selection criteria.
Days 14–18: RAG Infrastructure
Ingestion, chunking, embeddings, retrieval and evaluation.
Days 19–22: Security & Governance
API keys, RBAC, privacy, audit logs and responsible AI.
Days 23–26: Deployment
Cloud/local options, monitoring, scaling and cost control.
Days 27–30: Corporate Blueprint
Pilot architecture, governance checklist and implementation roadmap.
Real-Time Projects
- Private knowledge assistant
- AI gateway design
- RAG pipeline plan
- AI governance checklist
- Corporate AI blueprint
AI Question & Answer Samples
AI Question: What is AI gateway?
A backend layer managing model requests, security, logging and provider selection.
AI Question: Why vector database?
It stores embeddings for document retrieval in RAG applications.
Course FAQs
It is mainly for corporate teams but advanced professionals can join.
Yes. Corporate delivery can be customized.
Yes, depending on package.
Yes. Local/private options are covered conceptually and practically.
Yes. It prepares teams for enterprise AI systems.
Business Solutions
Business Automation
Automate lead capture, CRM, WhatsApp, email, appointment booking, customer support, reporting and business workflows using AI.
Who Should Join
Business owners, consultants, operations managers, freelancers, marketers and automation service providers.
Learning Outcomes
- Map workflows
- Automate leads
- Create follow-ups
- Use AI chatbots
- Design automation blueprint
Tools Covered
30-Day Curriculum
Days 1–4: Automation Mindset
Manual vs automated work, process mapping, bottlenecks and ROI.
Days 5–9: Lead Automation
Landing forms, lead routing, CRM fields and follow-up triggers.
Days 10–13: Communication Automation
Email, WhatsApp, SMS concepts, notifications and handoff.
Days 14–18: AI Chatbots
FAQ bot, course advisor, support bot and lead qualification.
Days 19–22: Appointment Automation
Booking, reminders, calendar workflows and no-show reduction.
Days 23–26: Reporting Automation
Daily reports, lead reports, sales reports and AI summaries.
Days 27–30: Final Automation Plan
Design a complete automation workflow and implementation checklist.
Real-Time Projects
- Lead capture workflow
- WhatsApp follow-up plan
- AI FAQ chatbot
- Appointment reminder workflow
- Daily report automation
AI Question & Answer Samples
AI Question: What should I automate first?
Start with lead capture, follow-up, appointment reminders and FAQs.
AI Question: Can AI replace sales team?
AI can qualify and follow up, but humans are important for closing.
Course FAQs
No-code tools can handle many workflows.
Yes. It is useful for repeated tasks.
Yes, using approved WhatsApp Business API/platforms.
Yes, with a knowledge base and chatbot.
Yes. They can offer automation services.
Business Solutions
Business Solutions with AI
Identify business problems and design AI solutions for sales, support, marketing, HR, training, operations and management.
Who Should Join
Business owners, startup founders, consultants, managers, trainers and automation professionals.
Learning Outcomes
- Identify AI opportunities
- Map AI solutions
- Estimate ROI
- Create roadmaps
- Prepare AI proposals
Tools Covered
30-Day Curriculum
Days 1–4: AI Business Transformation
Pain points, value mapping, ROI and implementation risk.
Days 5–8: Sales AI
Lead qualification, scripts, proposals, CRM summaries and follow-up.
Days 9–12: Support AI
FAQ assistant, ticket triage, response drafting and escalation.
Days 13–16: Marketing AI
Content, campaigns, SEO, social media and ad copy.
Days 17–20: HR & Training AI
Onboarding, policy Q&A, assessments and feedback summaries.
Days 21–25: Operations AI
Document workflows, approvals, reports and notifications.
Days 26–30: AI Proposal
Business case, roadmap, KPI plan and final presentation.
Real-Time Projects
- AI transformation plan
- AI sales assistant plan
- AI support blueprint
- HR onboarding assistant
- AI ROI proposal
AI Question & Answer Samples
AI Question: Where can AI help business?
Repeated tasks, FAQs, reports, follow-up, document workflows and support.
AI Question: What is AI ROI?
AI ROI compares cost with savings, speed improvement or revenue growth.
Course FAQs
It is business-focused with solution-level technical details.
Yes. It is ideal for business owners.
You will learn planning and solution design.
Yes, through chatbots, summaries and knowledge bases.
AI solution roadmap and proposal.
Software Development
Custom Software Development Training
Learn to plan, design, develop and deploy custom business software such as CRM, LMS, dashboards, booking systems and AI portals.
Who Should Join
Developers, students, freelancers, startup founders, business owners and future software product builders.
Learning Outcomes
- Plan software
- Design UI
- Model databases
- Understand APIs
- Add AI features
- Deploy projects
Tools Covered
30-Day Curriculum
Days 1–4: Software Planning
Problem, requirements, roles, scope and project documentation.
Days 5–8: UI/UX
Wireframes, navigation, dashboard layouts, forms and responsive design.
Days 9–13: Database Design
Tables, relationships, users, transactions and reports.
Days 14–18: Frontend
HTML, CSS, JavaScript, components and validation.
Days 19–22: Backend Concepts
APIs, authentication, CRUD, business logic and errors.
Days 23–26: AI Integration
Chatbots, summaries, recommendations and prompt templates.
Days 27–30: Final Software Project
Build and present CRM/LMS/dashboard-style application.
Real-Time Projects
- LMS blueprint
- CRM prototype
- Business dashboard
- AI chatbot portal
- Booking application
AI Question & Answer Samples
AI Question: What is CRUD?
Create, Read, Update and Delete operations on data.
AI Question: Best first software project?
CRM, LMS, booking system or dashboard.
Course FAQs
It covers planning, frontend, backend concepts, database and deployment.
Yes. It is project-based.
Basic coding helps, but fundamentals are covered.
Yes. AI-assisted coding and debugging are included.
Yes, with practice and project completion.
Voice AI
AI Voice Agents
Design AI voice agents for reception, course enquiries, appointment booking, customer support, lead qualification and business communication.
Who Should Join
Developers, call center teams, business owners, automation consultants and AI service providers.
Learning Outcomes
- Design voice flows
- Understand STT/TTS
- Create AI receptionist
- Plan CRM integration
- Handle transfers
Tools Covered
30-Day Curriculum
Days 1–4: Voice Agent Basics
Use cases, inbound/outbound, conversation design and limitations.
Days 5–8: Conversation Flow
Greeting, intent detection, clarification, closing and fallback.
Days 9–12: Speech Tech
Speech-to-text, text-to-speech, latency, voice quality and languages.
Days 13–17: Voice Prompt Design
Persona, rules, fallback, escalation and compliance messages.
Days 18–22: Business Integration
CRM, appointments, lead capture, knowledge base and notifications.
Days 23–26: Call Handling
Human transfer, summaries, transcripts and quality review.
Days 27–30: Final Voice Agent
AI receptionist or course enquiry voice bot blueprint.
Real-Time Projects
- AI receptionist
- Course enquiry voice bot
- Appointment voice bot
- Support voice assistant
- Lead qualification agent
AI Question & Answer Samples
AI Question: What is STT?
Speech-to-text converts speech into text.
AI Question: What is TTS?
Text-to-speech converts AI text into spoken audio.
Course FAQs
AI that can speak with callers and handle conversations.
Yes, with a knowledge base and script.
Yes, with calendar/booking integration.
Yes. It should be included.
Yes, depending on speech provider.
Voice AI
AI Call Centers Development
Design AI call center systems for inbound support, outbound calls, IVR, routing, lead qualification, transcripts, analytics and CRM integration.
Who Should Join
Developers, call center operators, business owners, telecom providers, automation consultants and AI product builders.
Learning Outcomes
- Design call architecture
- Create inbound/outbound flows
- Plan CRM integration
- Use transcripts
- Apply compliance
Tools Covered
30-Day Curriculum
Days 1–4: Call Center Basics
Inbound, outbound, IVR, queues, agents and call flows.
Days 5–8: AI Call Architecture
Phone gateway, voice engine, AI engine, CRM and analytics.
Days 9–13: Inbound Flow
Greeting, intent detection, FAQ, ticketing and human transfer.
Days 14–18: Outbound Flow
Campaign lists, lead qualification, consent, follow-up and disposition.
Days 19–22: IVR & Routing
Menus, routing, language selection, queues and escalation.
Days 23–26: Analytics
Transcripts, sentiment, call summaries, dashboards and quality review.
Days 27–30: Final Call Center Blueprint
Build AI course enquiry/support call center plan.
Real-Time Projects
- Inbound support call center
- Outbound lead workflow
- Course enquiry call center
- Appointment calling
- Call analytics dashboard
AI Question & Answer Samples
AI Question: What is call disposition?
The final call outcome such as interested, callback or not interested.
AI Question: Why human handoff?
Complex or sensitive cases must go to humans.
Course FAQs
Yes, with FAQs, ticketing and transfer.
Yes, where legally allowed and configured responsibly.
Yes, if supported and compliant.
Yes, using transcripts.
Yes. It can handle enquiries and reminders.
Telecom AI
AI IPPBX Solutions
Learn AI-enabled IPPBX concepts including SIP, extensions, routing, IVR, AI receptionist, transcripts, CRM integration and call summaries.
Who Should Join
Telecom professionals, IT support teams, business owners, call center teams and AI voice solution providers.
Learning Outcomes
- Understand IPPBX
- Design AI receptionist
- Plan routing
- Connect CRM
- Create call summaries
Tools Covered
30-Day Curriculum
Days 1–4: IPPBX Basics
IPPBX, extensions, SIP, trunks and business calling.
Days 5–8: Call Routing
Inbound routes, outbound routes, ring groups, queues and time conditions.
Days 9–12: IVR Design
Menus, department routing, language selection and fallbacks.
Days 13–17: AI Receptionist
Greeting, intent detection, FAQ, appointment capture and lead capture.
Days 18–22: CRM Integration
Caller ID, lead lookup, call notes, follow-up and pipeline updates.
Days 23–26: Call Intelligence
Recording, transcripts, summaries, sentiment and quality review.
Days 27–30: IPPBX Blueprint
AI-enabled business phone system architecture.
Real-Time Projects
- AI receptionist IPPBX
- Course enquiry phone system
- Support call routing
- Call transcript workflow
- IPPBX + CRM blueprint
AI Question & Answer Samples
AI Question: What is SIP trunking?
It connects IPPBX to phone networks through internet telephony.
AI Question: Can AI summarize IPPBX calls?
Yes, if calls are recorded or transcribed.
Course FAQs
Internet-based private branch exchange for business phone calls.
Yes, for reception, routing, FAQs and summaries.
SIP is commonly used in IP telephony.
Yes, with integration.
Telecom, IT, call center and AI voice teams.
Website FAQs
Common questions and answers.
These FAQs help visitors understand courses, duration, contact options and business solution support.
AI for Tech is an online AI and IT training, business consulting and business automation brand for students, professionals, corporate teams and business owners.
Yes. All programs are structured as 30-day, one-month courses with daily hours adjusted according to course complexity.
Yes. AI for Tech provides online training for students, working professionals, entrepreneurs and corporate teams.
Yes. Corporate teams can request AI development infrastructure training, business automation training and customized AI solution programs.
Yes. AI for Tech supports business automation planning, AI voice agents, AI call center development concepts, IPPBX solution planning, CRM workflows and custom AI business systems.
You can call or WhatsApp +1 332 455 7477, or submit the enquiry form on this page.
Contact
Talk to AI for Tech about training, corporate programs or AI business solutions.
For course enquiries, business automation discussion, corporate training or AI voice solution planning, contact AI for Tech using phone, WhatsApp or the enquiry form.
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