- +91 99907 48956
- +91 96503 08956
- info@analyticstraininghub.com
I Want More Information
Artificial Intelligence Certification Program
Artificial intelligence (AI) is a subset of computer science that aims to develop systems/machines that think, learn and act like humans. AI allows computers to problem-solve, recognize patterns, make decisions, and understand natural language, all while avoiding explicit coding for each situation.
What Can AI Do?
AI is performing tasks that traditionally required human intelligence, such as:
- Responding to voice commands (e.g., Siri, Alexa)
- Recommending products or shows (e.g., Amazon, Netflix)
- Driving a self-driving car
- Detecting fraud in transactions
- Diagnosing diseases from medical reports
Increase productivity & create efficiency
AI tools can automate mundane and repetitive tasks such as data entry, scheduling, report generation, or answering customer queries. To your advantage: You can save time, thereby having time to focus on things that add value, and be more productive.
Improved decision making
AI can help professionals extract data from an ever-increasing volume, analyze the data, and present insights that help with decision-making. To your advantage: For example, marketers can be able to predict customer behavior, HR professionals can predict attrition, and finance teams can detect fraud earlier.
Digital and technological confidence and capabilities
AI is here to stay, and getting comfortable learning how to use AI tools (ex: ChatGPT, Power BI AI visuals, Excel AI features, or machine learning models) will future-proof you. The important skills you will develop (adaptability) will be highly valued from any employer.
Creation of new jobs across industries
AI has and is leading to the development of new roles. There are now more job descriptions and employment roles available to candidates that include: Data Analyst / Data Scientist, AI Specialist / Machine Learning Engineer, Business Intelligence Professional, Automation Consultant.
To your advantage: Learning AI can broaden your horizons and enhance your job security.
Helps you stand out from your competition in an ever-growing job market
AI literate professionals Due to the rise and integration of AI and other automation technology, the demand for AI literate professionals will only ever increase. When you master the use of AI tools or represent the intelligence of Ai, then you are demonstrating your ability to be innovative, forward thinking, and valuable in a tech driven economy.
Personalized learning and skill development
AI-based platforms (LinkedIn Learning, Coursera, ChatGPT, etc) there are vast amounts of learning paths and suggestions based your specific requirements.
To your advantage: This gives you the capability to learn what you want, when you want.
Instructor -Led Online & Physical Classes
| Batch Start Date | Location | Upcoming Slots | Timings | Enrollments Status |
|---|---|---|---|---|
| 26th Oct'25 | Online & Offline | Sold Out SAT & SUN | 2:00 PM - 4:00 PM | Closed |
| 9th Nov'25 | Online & Offline | Filling Fast⚡ SAT & SUN Weekend batch | 10:00 AM - 12:00 PM | Registration Open |
| 23rd Nov'25 | Online & Offline | SAT & SUN Weekend Batch | TBD | Registration Open |
Module 1: Introduction to Artificial Intelligence
Goal: Build foundational understanding of AI, history, and real-world relevance.
- What is AI? Definition & Evolution
- History & Milestones in AI (Turing, ELIZA to GPT-4)
- Types of AI:
- Narrow AI vs General AI vs Super AI
- Reactive Machines vs Self-Aware AI
- Myths and Facts about AI
- Current Trends in AI (Generative AI, Automation, Robotics, AI in Analytics)
- Applications of AI in:
- Healthcare, Finance, Retail, HR, Marketing, Education, Manufacturing
Module 2: AI vs Machine Learning vs Deep Learning
Goal: Understand the relationship between AI, ML, and DL.
- What is Machine Learning (ML)?
- What is Deep Learning (DL)?
- Differences: AI vs ML vs DL
- Real-world Examples:
- AI = Alexa, ChatGPT
- ML = Fraud detection, Recommendation Systems
- DL = Facial Recognition, Autonomous Vehicles
Module 3: Machine Learning Essentials
Goal: Understand how machines learn from data.
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Features, Labels, and Models
- Train-Test-Split
- Algorithms (Intro):
- Regression, Decision Trees, Clustering, Classification
- Overfitting vs Underfitting
- Optional Hands-on (if learners are tech-savvy):
- Use Python + Scikit-learn or Excel ML plug-ins
- Load a dataset and apply a basic model
Module 4: Data, AI & the Role of Big Data
Goal: Show how data fuels AI and the need for clean, structured inputs.
- Structured vs Unstructured Data
- Importance of Data Quality
- Data Cleaning Basics
- Introduction to Data Sources (CSV, APIs, Web, Sensors)
- Role of Big Data in AI
- Data Pipelines (ETL Conceptual Flow)
Module 5: Natural Language Processing (NLP)
Goal: Understand how AI interacts with human language.
- What is NLP? Scope & Applications
- Text Processing (Tokenization, Stop Words, Lemmatization)
- NLP Use Cases: Chatbots, Sentiment Analysis, Translators, Resume Parsing
- Tools: NLTK, spaCy, Hugging Face (brief overview)
- Concept of Word Embeddings (word2vec, BERT – simplified)
Module 6: Computer Vision (CV)
Goal: Understand how AI “sees” the world.
- What is Computer Vision?
- Use Cases: Object Detection, OCR, Surveillance, Medical Imaging
- Image vs Video Analysis
- Introduction to OpenCV and CV tools
- Brief on Face Recognition & Emotion Detection
Module 7: Generative AI & LLMs
Goal: Explore ChatGPT, CoPilot, Bard, and their underlying models.
- What is Generative AI?
- Use Cases: Content Generation, Code Writing, Summarization
- Large Language Models (LLMs) – GPT, LLaMA, PaLM
- How ChatGPT works (Simplified with architecture and training examples)
- Prompt Engineering:
- Crafting good prompts for productive responses
- Role of temperature, max tokens, creativity
- Demo: Use ChatGPT or Gemini for content, analysis, code
Module 8: AI in Business and Industries
Goal: Discover how AI is transforming industries.
AI in:
- Finance: Credit Scoring, Fraud Detection
- Healthcare: Predictive Diagnosis, AI-Assisted Surgery
- Retail: Inventory Prediction, Personalized Shopping
- HR: Resume Screening, Employee Engagement
- Marketing: Recommendation Systems, Dynamic Ads
Case Studies:
Netflix, Amazon, Tesla, Zomato
Module 9: Tools & Platforms in AI
Goal: Introduce top tools and platforms available for AI use.
- No-code/Low-code Tools:
- Microsoft Azure AI Studio
- Power BI with AI visuals
- MonkeyLearn, Peltarion
- Programming-Based Tools:
- Python, TensorFlow, Keras, PyTorch
- Chatbot Platforms: Dialogflow, IBM Watson, Rasa
- Data Visualization + AI (Power BI, Tableau with GPT)
Module 10: Ethics, Challenges & Future of AI
Goal: Foster responsible understanding of AI in society.
- Ethical Concerns:
- Bias in AI
- Deepfakes
- Job Displacement
- Explainable AI (XAI)
- Legal Implications & AI Governance
- Future of AI:
- AGI (Artificial General Intelligence)
- AI + Quantum Computing
- Autonomous Economy
Module 11: Capstone Project / Case Study (Optional for Certification Track)
Learners choose from:
- Build a Smart Resume Screener
- Predict Sales Using AI Tools
- Create an AI-Powered Chatbot
- Use ChatGPT to generate business insights
Add-Ons
- Pre/Post Assessments with MCQs
- Prompt Engineering Templates
- AI Tool Cheat Sheets (for Excel, ChatGPT, No-Code ML, etc.)
- Completion Certificate
Highlights
Assignments & Projects
Projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply your learning.
100% Job Assistance
You will get 100% job assistance according to your CTC, Experience and Present skills
- Let's Take A Step for Your Brighter Future
Need more details about the course, let’s connect with our experts
Let’s Get Our Expert’s Guidance
How, Artificial Intelligence is having Best Career Opportunities?
Skills in Demand
Artificial Intelligence is a transformative and highly demanding career for skilled professionals. To thrive in this field, AI specialists need more than just programming expertise or a basic understanding of algorithms—they must grasp the full scope of the AI development life cycle. This includes data preprocessing and model building, as well as deployment and real-world application. Success in AI also demands adaptability and continuous learning to stay
Employability Increases
Companies are increasingly prioritising candidates with strong skills in Artificial Intelligence, especially those proficient in Python. Professionals with advanced knowledge in AI technologies such as Machine Learning, Deep Learning, TensorFlow, PyTorch, and Natural Language Processing (NLP) are in high demand. Businesses use AI to drive automation, intelligent decision-making, and predictive analytics.
Job opportunities on the rise
Artificial Intelligence has emerged as one of the top career paths worldwide, consistently ranking among the most promising jobs on websites like Glassdoor, LinkedIn, and many other sites. According to Indeed, AI professionals in India earn up to ₹25 LPA or more. Careers in AI are financially rewarding and offer the opportunity to work on cutting-edge technologies and solve complex and fascinating problems, such as self-driving cars and intelligent healthcare systems.
Most Frequent Questions and Answers
AI is becoming a foundational element of nearly every industry. Learning AI keeps you relevant, helps you automate tasks, improve decision-making and brings new opportunities to your career.
No, you do not need a technical background. Many AI tools such as ChatGPT, Excel AI, and Power BI AI visuals, are easily to use. You can easily start using these tools even if you do not have coding or technical experience, and gradually expand your knowledge of advanced concepts.
Pretty much all categories of professionals can leverage AI – Marketing, Finance, HR, Operations, Sales, IT, Healthcare, Education, etc. Every professional can leverage AI as a tool to be more productive and innovative.
AI can help you work smarter mainly because it can automate most routine tasks, provide rapid summaries of reports, create reports, help you with emails or presentations, etc. This means you save time and energy.
Not if you learn to work with it. AI is just another tool so if you learn to use AI as a tool it will pay dividends in your career and position you ahead of your peers that are unable to leverage AI and will ultimately become irrelevant. It’s about augmentation and not replacement.
Certainly. AI tools allow human acquisition, use of, and analysis, of data patterns, predictions, suggestions for insights; allowing you to make fast and informed decisions.
Certainly! Human resource professionals will screen resumes, finance teams will analyze data looking for fraud, marketers will use it for their segmentation, and analytics teams will use them to forecast trends, to name a few.
- ChatGPT
- Microsoft Excel AI features
- Power BI AI visuals
- Google Bard or Gemini
- Canva AI tools
Start learning about what artificial intelligence is, then try beginner tools like ChatGPT, and buy a short course, or get a certification through Coursera, Udemy, or, through the Analytics Training Hub.
No. Data scientists build AI systems, but every professional can use an AI tool to optimize their work – reporting, marketing, planning, or to support making decisions.
There are many great AI tools that have free versions or are free to use. (ChatGPT, Google Sheets with AI capabilities, Canva have AI) You can learn and practice at low investment.
You can pursue jobs like:
- Data Analyst
- Business Intelligence professional
- AI Support Associate
- Automation Consultant
- AI Marketing professional
Through practical and hands-on AI training using real-world tools, unique use case based on the respective industry, career mentorship, project help, and support with career placement we create opportunities to advance skills and subsequently careers.
Student Reviews
Had great experience learning at ATH. Joined in January 2022 for 3 months program for Excel, My SQL and power BI....learned from Anil Sir and Nayan Sir...both great teachers...will definitely recommend all to join this program. Also, in job interview it helps when you are trained in multiple skills.
I was struggling with advance excel when I find out about this platform and I decided to take Data Science course from here and my overall experience was quite amazing I am glad i found out about this platform in just few weeks i got to learn so much and I would recommend this to everyone.
I am working as a HR,and it requires excel workings regularly so I searched a lot for advanced excel classes,and came across this one..Trust me people,its the best class if you want to learn excel or any other Microsoft Office Programs..Sir is too communicative and teaches in an organized manner.
ATH is such a ladder for career growth, as i studied in many institutes but after taking classes my belief is restored that good institutes still exists, who’s totally focuses on skill development of students instead of only making money.
Our Classroom Batches
Recommended Courses
Learn Data Analytics, Power BI, Tableau, & Advance Excel with hands-on training & 100% job assistance.
Connect with us!
Company
Our Programs
Discover
Contact Info
+91 99907 48956
info@analyticstraininghub.com
Address
91 Springboard, B1/H3, NH-19, Block B, Mohan Cooperative Industrial Estate, New Delhi, Delhi - 110044
Professional Courses
Data Analytics – Advanced | Data Analytics – Intermediate | Data Analytics – Basic | Data Science program | Data Science Using Python | Python Core programming | Microsoft Excel Course | Excel VBA & Macros Course | MySQL Program Course | Power BI Course | Tableau Course | MIS Training | Data Visualization Course with Power BI | Data Visualization Course with Power BI & Tableau
Master's Programs
Microsoft Excel | VBA – Macros | My SQL / SQL Server | MS Power BI | Tableau | Python | Data Science Using Python | R Programming | Data Analytics – Basic | Data Analytics – Intermediate | Data Analytics – Advanced | Data Science Certification Program
Popular Searches
Data Analyst Training Course In Delhi | Data Analyst Training Course In Noida | Data Analyst Training Course In Gurgaon | Data Analyst Training Course In Bangalore | Data Science Course in Delhi | Data Science Course In Noida | Data Science Course In Gurgaon | Data Science Course
© 2016-2025 | Analytics Training Hub ( A Unit Of Medhya Analytics Solutions Pvt. Ltd.) | All Rights Reserved