Excel, SQL, POWER-BI & AI
Offline / Online
Duration: 03 Months
Become an AI-Powered Data Analytics in Just 3 Months!
Artificial Intelligence is no longer the future—it’s the present competitive advantage. This focused 3-month program cuts through the AI hype to deliver practical, foundational knowledge that empowers you to understand, evaluate, and begin implementing AI solutions. Whether you’re a professional needing to work alongside AI systems, a manager making AI adoption decisions, or a curious learner wanting to start your AI journey, this program provides the essential knowledge and hands-on experience to participate confidently in the AI revolution.
Job Guarantee & Career Assurance
This program is designed not just to teach tools but to ensure employability. Learners who successfully complete all course requirements, projects with a minimum performance grade, satisfy eligibility criteria and career-readiness milestones are eligible for our Job Guarantee Track, which includes:
- 100% Job Assistance & Placement Support through iPEC’s AI-Hire Hub.
- Career Readiness Boot camp covering resume optimization, mock interviews, and LinkedIn profile building.
- Guaranteed Internship for eligible learners.
Early Bird Advantage
Enroll before 5th November 2025 and unlock an exclusive bonus package!
- Extra Project: AI-Powered Business Dashboard Challenge
- Bonus Module: Generative AI in Data Science
- Career Accelerator: Resume + Interview Prep Toolkit
- Special Recognition: Early Achiever Certificate Badge
- AI Interview + Big 5 Personality Test @ free of cost
Limited seats. Early access = Extra learning + Exclusive recognition.
Who Should Join?
- Complete beginners curious about AI with no technical background
- Business professionals needing AI literacy for their roles
- Managers and leaders evaluating AI adoption strategies
- Students exploring AI before committing to specialized programs
- Career explorers considering AI-related career transitions
- Professionals from any field wanting to understand AI fundamentals
- Entrepreneurs assessing AI opportunities for their ventures
- Marketing, sales, and operations professionals working with AI tools
- Anyone feeling left behind by the AI revolution and wanting to catch up
Key Features
- Beginner-friendly 3-month structured program
- Balance of theory and hands-on practice
- No prerequisites: starts from absolute basics
- Simplified explanations of complex AI concepts
- Real-world examples and relatable case studies
- Practical projects building actual AI applications
- Supportive learning community for beginners
- Flexible self-paced modules with live support sessions
- Career counseling and AI learning path guidance
- Certificate demonstrating AI foundational competency
- Access to beginner-friendly AI tools and platforms
- Pathway recommendations to advanced specializations
What You Will Learn :
- AI fundamentals: history, types, and applications
- Machine learning basics: supervised, unsupervised, and reinforcement learning
- Python programming essentials for AI
- Data preprocessing and exploratory analysis
- Introduction to key ML algorithms: regression, classification, clustering
- Neural networks and deep learning fundamentals
- Natural Language Processing basics and applications
- Computer vision introduction and image processing
- Generative AI concepts: understanding LLMs and diffusion models
- Practical applications of ChatGPT and generative AI tools
- AI model evaluation and performance metrics
- Ethics in AI: bias, fairness, and responsible AI
- AI tools and platforms overview
- No-code/low-code AI solutions
- AI project lifecycle and implementation strategies
- Real-world AI case studies across industries
- Future of AI and emerging trends
- Career paths in AI and skill development roadmap
Projects You'll Complete
- Clustering analysis for business insights
- Predicting future trends
- Sentiment Analysis
- Image Classification and recognizing objects
- Chatbots and conversational AI
- AI Content Generator
Course Outcomes
You’ll develop AI literacy that enables you to evaluate AI opportunities, communicate effectively with technical teams, and make informed decisions about AI adoption. You’ll build your first AI models, understand how modern AI systems work, and gain confidence to explore specialized AI domains. Most importantly, you’ll transition from AI consumer to AI participant with practical skills and project experience that demonstrate your capability.
Career Opportunities After the AI Generalist Programme
Core Artificial Intelligence Job Roles
AI Engineer – Designs, develops, and deploys AI-powered systems and models.
Machine Learning Engineer – Builds and optimizes ML algorithms for prediction, classification, and automation.
Deep Learning Engineer – Works with neural networks, computer vision, and NLP models.
AI Research Scientist – Conducts R&D on cutting-edge AI methods, such as LLMs and generative models.
AI Generalist / Applied AI Professional – Skilled across multiple AI domains (ML, NLP, GenAI, CV) for end-to-end implementation.
Generative AI & NLP Job Roles
Generative AI Engineer – Builds AI solutions using LLMs, diffusion models, and AI content tools.
Prompt Engineer – Designs optimized prompts to guide AI systems like ChatGPT or Gemini.
LLM Developer / Fine-tuning Engineer – Customizes and deploys large language models for business applications.
AI Automation Engineer – Creates no-code and low-code AI automation workflows using GenAI APIs.
Conversational AI Developer – Builds chatbots, voice assistants, and AI-driven support systems.
Data Science & Analytics Job Roles
Data Scientist – Uses statistical models and ML to extract insights from data.
Data Analyst / AI Data Analyst – Analyzes trends, dashboards, and business intelligence using tools like Power BI, Tableau.
Data Engineer – Manages data pipelines and ensures data readiness for ML models.
Business Intelligence Analyst – Converts data into actionable strategies for decision-making.
AI-Powered Analytics Specialist – Uses AI tools to automate data visualization and reporting.
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Prgoramme Director : Fathima Afroz
BE, M.Tech ,Research @ NITK Surathkal - 22 Years of Experience in Academic & Industry
- Areas of Interest : Data Science , ML , NLP , Speech Recognition
Contact Form
Learners transformed their careers
The Data Analytics program empowers learners to get roles as data scientists, machine learning engineers, content creators, AI developers, and more
3 out of 4
Learners in AI roles
Unlock Your Brilliance: Discover Our Exclusive Course Offerings
- Tailored for Beginners
- Hands-On Learning
- Easy-to-Follow Content
- Wide Range of Topics
- User-Friendly Tools
- Boost Your Career
- Supportive Community
- No Coding Background Needed
- Exclusive Access to Resources
Extra Achievements
- Problem Solving Skills
- Optimization
- Algorithms
- File handling
- Interpretation of results
- Explainable AI
- Low code programming
Pre- requisite
- Any Graduation /Any UG Students
- No Coding Skills required
- No Age Limit
- Technical / Non-Technical
High Earning Potential
Generative AI offers significant earning potential due to its growing demand across industries. Professionals with expertise in AI research, machine learning, and deep learning can command high salaries, especially in roles such as AI engineers, data scientists, and AI researchers. As businesses increasingly adopt AI for automation, content generation, and problem-solving, demand for skilled individuals in this field is expected to continue rising, creating ample opportunities for high earnings. Additionally, those involved in AI startups or developing innovative AI-driven products can also benefit from substantial financial success.
Why Choose Generative AI?
Generative AI is experiencing high demand and exceptional career growth, making it one of the most promising fields in tech. As industries like healthcare, entertainment, finance, marketing, and manufacturing leverage AI for automation, personalized experiences, and creative content generation, the need for skilled professionals has skyrocketed.
Technological Advancements: The rapid growth of AI models, such as GPT and DALL·E, has opened new avenues for innovation, leading to an increased need for experts to build and optimize these systems. Cross-industry Adoption: From creating realistic synthetic media in entertainment to streamlining operations in business, the versatility of generative AI across industries fuels continuous demand for skilled workers. Scalability and Efficiency: Organizations are increasingly adopting AI to improve efficiency, reduce costs, and enhance product offerings, further driving the need for AI specialists.
AI Research and Development: Professionals in R&D are crucial for advancing AI models and algorithms. AI Engineers and Data Scientists: Companies need experts to build and implement generative AI systems. Product Managers & Strategists: There’s demand for leaders who can drive AI initiatives and guide product development. Ethics and Policy Specialists: With the rise of AI, ethical considerations and regulatory compliance are becoming key focus areas.
Generative AI is driving innovation and creativity by enabling the creation of novel content, designs, and solutions across industries. It empowers businesses to generate personalized experiences, artists to explore new forms of media, and scientists to solve complex problems. By enhancing collaboration and pushing the boundaries of traditional methods, generative AI opens up limitless possibilities for innovation, transforming how we create, work, and solve challenges.
Open to any graduates and UG students from all disciplines.
No coding skills required; designed for beginners and non-programmers.
Suitable for all ages with no restrictions on learning or participation.
Technical / Non-Technical
Why Learn Generative AI?
- High-Demand Skill – AI-driven automation is reshaping industries, and skilled AI professionals are in high demand.
- Boost Productivity – Automate tasks like content creation, data analysis, and customer support.
- Lucrative Career Opportunities – AI specialists, machine learning engineers, and AI content creators earn top salaries.
- Innovate & Create – Build AI-powered applications, chatbots, digital assistants, and creative content.
- Future-Proof Your Career – AI is the future—learning now gives you a competitive edge.
Job opportunities in Generative AI
The job market is booming with opportunities in various fields, especially in technology, healthcare, and AI-driven industries. From IT services to Generative AI roles, companies are actively hiring skilled professionals, offering competitive salaries and career growth.
AI & Data Science Roles
✔ Data Scientist – Develop AI models for data analysis and decision-making.
✔ Data Analyst – Interpret complex datasets to extract insights.
✔ Business Intelligence Analyst – Use AI for business forecasting and reporting.
✔ Quantitative Analyst – Apply AI models in financial markets and risk management.
✔ Statistician – Use AI to analyze data trends and patterns.
AI Engineering Roles
✔ Machine Learning Engineer – Design and train AI models for automation.
✔ Data Engineer – Manage and process large-scale data for AI applications.
✔ Big Data Engineer – Work with massive datasets using AI-driven tools.
✔ Database Administrator – Optimize database performance and AI integrations.
✔ Data Architect – Design AI-powered data storage and retrieval systems.
AI & Analytics Roles
✔ Data Warehousing Specialist – Develop AI-driven data storage solutions.
✔ Data Mining Specialist – Extract meaningful patterns from large datasets.
✔ Predictive Analytics Specialist – Use AI for forecasting and trend analysis.
Industry-Specific AI Roles
✔ Marketing Analyst – Leverage AI for targeted campaigns and customer insights.
✔ Financial Analyst – Use AI for investment strategies and risk assessment.
✔ Healthcare Data Analyst – Apply AI in medical research and diagnostics.
✔ E-commerce Analyst – Optimize online sales using AI-driven recommendations.
✔ Customer Insights Analyst – Analyze consumer behavior using AI tools.
✔ Fraud Detection Analyst – Detect financial fraud using AI-powered security measures.
✔ Operations Analyst – Improve business processes using AI-driven automation.
Why IPEC
At iPEC, we pride ourselves on offering an offline learning experience that goes beyond the ordinary. Rooted in excellence, our methodology is tailored to provide students in India with the best possible education, enriched by the expertise of our experienced trainers.
Why Choose Us
Why iPEC for Offline Learning in India?
AI & ML Interactive Offline/ Online programs are intensive application oriented and based on real-world scenario. AI & ML foundation, master and professional, all are skill oriented, practical training program required for building various applications. It is designed to give the participant enough exposure to the variety of applications that can be built using techniques covered under this program. These courses are designed for both for freshers and experienced professionals from variety of backgrounds. No prior knowledge of statistics or modelling is assumed.
iPEC has a history of producing successful graduates who have excelled in their careers.
Our offline learning approach focuses not only on academic excellence but also on the holistic development of each student, nurturing well-rounded professionals.
Stay ahead in your chosen field with our industry-relevant curriculum, constantly updated to align with current trends and demands.
Become an expert in your field with our Offline/ online courses.
Unlock your full potential with our expert-led Offline / online courses. Gain practical knowledge and advance your career in your chosen field.
What Our Students Say
Student Experiences: In Their Own Words
Hear from our successful students who have transformed their careers with iPEC’s hands-on training. From mastering AI and automation to securing top industry roles, our graduates share how iPEC’s expert mentorship, real-world projects, and career-focused learning helped them achieve their dreams.
