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Read More →Uncodemy offers a 5–6 month Artificial Intelligence program with live, instructor-led online classes for learners in Hubballi-Dharwad. The curriculum includes Python, Machine Learning, Deep Learning, NLP, Computer Vision, along with foundational Generative AI & LLM topics. Uncodemy has no physical centre in Hubballi-Dharwad — training takes place completely online, with classroom learning available at the Delhi and Noida centres for learners able to travel. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI starts from ₹4,818/month for 6 months*.
Learn from 8+ years experienced professionals
Build real artificial intelligence test suites, not just theory
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
Learners who complete Uncodemy's Artificial Intelligence training build practical skills in Python, machine learning, deep learning, NLP, computer vision and generative AI. After training and career preparation, eligible learners may apply for roles such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer and related positions. Placement records for Belagavi learners are updated regularly — view verified outcomes at uncodemy.com/placement.
Artificial Intelligence in the twin cities of Hubballi-Dharwad is gaining traction as a tool for industrial automation and educational innovation. It is the branch of computer science dedicated to creating machines capable of mimicking human intelligence, allowing them to learn from data patterns and make autonomous decisions. With a strong base of engineering colleges and manufacturing units, the region is seeing AI applied in quality control, supply chain optimization, and smart classroom technologies.
What does an AI engineer do? For an AI engineer working in Hubballi-Dharwad, the focus often shifts between software development and hardware integration. A typical week might involve training computer vision models to detect defects on a production line, maintaining data pipelines for a logistics company, or building chatbots for local educational institutes. The engineer must balance algorithmic efficiency with the practical constraints of industrial environments, requiring skills in both cloud deployment and edge computing.
While all three Uncodemy programs cover core concepts, they differ significantly in depth and industry application. This comparison is tailored for students and professionals in Hubballi-Dharwad, helping them choose the right path for the region's industrial and educational landscape.
| Aspect | Artificial Intelligence | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | Broad foundation across ML, DL, NLP, CV and GenAI | Building, fine-tuning & deploying LLM-powered applications | Building retrieval-grounded AI systems on enterprise knowledge |
| Coding depth | High | High | High |
| Typical entry salary | ₹4–8 LPA (Entry-Level AI Engineer, per this sheet) | ₹6–10 LPA (per LLM Engineering course sheet) | ₹5–9 LPA (per RAG Engineering course sheet) |
| Uncodemy program duration | 5–6 months | 5–6 months | 5–6 months |
Salary ranges are indicative and vary by role, skills, experience, location and employer.
This AI course is a 5–6 month live online learning experience delivered through 110+ live sessions and 183+ hours of instruction. It encompasses 13 modules that take you from AI basics to Python, mathematics and statistics, data preprocessing, machine learning fundamentals, supervised and unsupervised learning, model evaluation, deep learning and neural networks, NLP, computer vision, generative AI and LLM fundamentals, AI applications and deployment, and finally a 25-hour industry capstone. Practical exercises using real tools are integrated into every module. Hubballi-Dharwad participants access the program fully online in a live format, with the option of classroom training at Uncodemy's Delhi and Noida centres for those willing to travel.
Who should join this course:
Eligibility: A bachelor's degree in any field — technical or non-technical — qualifies you to enroll. Familiarity with programming concepts helps but is not required, as Python is introduced starting Module 2. A basic grasp of math and statistics is beneficial and will be strengthened in Module 3. Participants must have a laptop and stable internet access for hands-on sessions.
Pick a batch timing that suits your availability. Live online sessions are conducted in IST. Book a complimentary demo class to get a firsthand feel, or register for our upcoming weekend and weekday live batches — tailored for working professionals and students alike, with adaptable schedules and hands-on training.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01Seat |
| 22Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| 26Oct | 10:30 AM – 11:30 AM | Mr. Irshad | 01Seat |
| 30Oct | 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Oct | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
8+ new batches start every month. Live online batches, IST timings. Seats are limited and updated daily.
The syllabus is organised into 13 modules covering 183+ hours. The order follows how AI skills build: foundations → Python → math/stats → data preprocessing → ML fundamentals → supervised/unsupervised learning → model evaluation → deep learning → NLP → computer vision → GenAI/LLM fundamentals → deployment → industry capstone. Each module includes practical exercises with real tools, and the program closes with hands-on AI projects and an industry capstone.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Artificial Intelligence Fundamentals | 10 | Python, Jupyter Notebook |
| 2 | Python for Artificial Intelligence | 15 | Python, Jupyter Notebook, Git/GitHub |
| 3 | Mathematics & Statistics for AI | 12 | Python, NumPy, SciPy |
| 4 | Data Preprocessing & Feature Engineering | 12 | Pandas, NumPy, Matplotlib, Seaborn |
| 5 | Machine Learning Fundamentals | 15 | Scikit-learn, Pandas |
| 6 | Supervised & Unsupervised Learning | 15 | Scikit-learn, Matplotlib |
| 7 | Model Evaluation & Optimization | 10 | Scikit-learn, Seaborn |
| 8 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras, PyTorch |
| 9 | Natural Language Processing (NLP) | 12 | NLTK, spaCy, Hugging Face |
| 10 | Computer Vision & Image AI | 12 | OpenCV, PyTorch, TensorFlow |
| 11 | Generative AI & LLM Fundamentals | 15 | OpenAI APIs, Hugging Face |
| 12 | AI Applications, APIs & Deployment | 15 | FastAPI, Docker, Git/GitHub |
| 13 | AI Projects & Industry Capstone | 25 | All tools |
| Total | 183 Hours | 15+ tools | |
Artificial Intelligence refers to the field of building computational systems capable of learning from data, reasoning about that knowledge, and producing predictions or choices without being explicitly coded for each scenario. The core areas within this discipline are machine learning, deep learning, natural language processing, and computer vision. AI technologies drive recommendation systems, voice-controlled assistants, fraud detection tools, medical imaging diagnostics, and the generative AI features now common in everyday software.
What does an AI engineer do? In a typical workday, an AI engineer prepares and transforms data features, develops and evaluates ML/DL models, creates NLP or computer vision pipelines, integrates generative AI and LLM functionality into products, and serves models to applications via APIs. The job combines software engineering, statistics, and domain-specific knowledge — which is why employers place equal weight on coding proficiency and conceptual clarity throughout the interview process.
This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.
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Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy is a career-driven IT training institute managed by Uncodemy Edutech Pvt. Ltd. With more than 14 years of training excellence, classroom facilities in Delhi and Noida, and live online classes serving learners across India including Hubballi-Dharwad, Uncodemy delivers instructor-led training for emerging technologies.
In this Artificial Intelligence course, learners construct machine learning models, deep learning projects, NLP and computer vision pipelines, GenAI-integrated applications, and a 25-hour industry capstone project. The training encompasses the entire AI development lifecycle — from data preprocessing and feature engineering to model training, evaluation, optimization and deployment through APIs.
In addition to training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it excludes — is outlined in our career support policy, along with the eligibility conditions published before enrolment rather than after payment.
If you are still deciding on a direction, Uncodemy also runs LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Hubballi-Dharwad and Karnataka learners.
Portfolio/capstone project review:Your hands-on ML/DL/NLP/CV work and industry capstone are reviewed and refined into a portfolio an interview will find credible.
Resume & LinkedIn:We build your resume around AI/ML keywords and measurable outcomes, and align your LinkedIn profile to match.
Interview preparation:ML/DL concept questions, coding rounds, case-study discussions and AI-specific interview scenarios.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.
Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.
Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.
The people who actually teach this course
Uncodemy ensures that teaching and independent academic review remain separate functions. Live classes are led by trainers, while domain reviewers confirm the syllabus stays accurate and relevant without instructing the batch. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, adding an independent quality check alongside classroom delivery.
The Delhi classroom batches are taught by the same faculty who support the Noida and online formats. Prospective learners may request to observe part of a live session before making a decision.
Trainer and reviewer names, areas of expertise and professional backgrounds are shared openly by Uncodemy, so learners can review the people connected with the course before enrolling.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Join Uncodemy's Artificial Intelligence program tailored for Hubballi-Dharwad learners today! Gain hands-on expertise in Python, machine learning, deep learning, NLP, computer vision and generative AI via instructor-led live online sessions, practical labs and a 25-hour industry capstone. Launch your AI career with organized training and focused career readiness.
| Role | Core Tools |
|---|---|
| AI Engineer | Python, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, Scikit-learn, Pandas, NumPy |
| Deep Learning Engineer | TensorFlow, Keras, PyTorch |
| Computer Vision Engineer | OpenCV, PyTorch, TensorFlow |
| NLP Engineer (Junior) | NLTK, spaCy, Hugging Face |
| Generative AI Engineer | OpenAI APIs, Hugging Face, LangChain |
| Role | Salary Range |
|---|---|
| Entry-Level AI Engineer | ₹4–8 LPA |
| Machine Learning Engineer | ₹6–12 LPA |
| AI/ML Engineer | ₹8–16 LPA |
| Deep Learning Engineer | ₹8–18 LPA |
| Generative AI Engineer | ₹8–18 LPA |
| Computer Vision Engineer | ₹7–16 LPA |
| Senior AI Engineer | ₹15–28 LPA |
| AI Solutions Architect | ₹20–35 LPA |
| Factor | This Program |
|---|---|
| Duration | 5–6 months |
| Learning hours | 183+ |
| Live sessions | 110+ |
| Tools | 15+ |
| Capstone | 25-hour Industry project |
| Career support | Dedicated Career & Placement Assistance |
| If you want... | Recommend |
|---|---|
| Broad AI/ML career transition covering ML, DL, NLP, CV and GenAI | This program |
| Already know GenAI/LLM basics, want ML/DL fundamentals too | This program |
| Narrow LLM application development only | Consider LLM Engineering course instead |
| Narrow retrieval-system specialisation | Consider RAG Engineering course instead |
The course duration is 5–6 months, featuring 110+ live sessions and 183+ hours of learning. Learners can choose from weekday or weekend batch timings.
No prior Python or ML experience is required. Python is taught from Module 2 onward, and basic math/statistics comfort is built up in Module 3. A graduate degree in any discipline is sufficient.
15 tools including Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Yes. Module 8 covers Deep Learning & Neural Networks (15 hours), Module 9 covers Natural Language Processing (12 hours), and Module 10 covers Computer Vision & Image AI (12 hours).
The capstone is Module 13: AI Projects & Industry Capstone (25 hours). You build an end-to-end AI project applying ML/DL concepts, deployment and real-world problem solving.
All 110+ sessions are live and instructor-led, with recordings available afterwards for revision.
The program fee is ₹24,500 plus 18% GST. Total fee is ₹28,910. The same fee applies in all modes and cities.
EMI starts from ₹4,818 per month for 6 months. The exact amount, tenure and eligibility depend on the applicable payment or financing option — a counsellor can confirm your plan.
Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.
We provide Dedicated Career & Placement Assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment.
Entry-level AI Engineer roles in the market range around ₹4–8 LPA (indicative). Outcomes vary by skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.
Indicative market ranges: Entry-Level AI Engineer ₹4–8 LPA, Machine Learning Engineer ₹6–12 LPA, AI/ML Engineer ₹8–16 LPA, Deep Learning Engineer ₹8–18 LPA, Generative AI Engineer ₹8–18 LPA, Computer Vision Engineer ₹7–16 LPA, Senior AI Engineer ₹15–28 LPA, AI Solutions Architect ₹20–35 LPA. Actual offers vary by role, skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary.
AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer.
Graduates of any technical or non-technical discipline, working professionals transitioning into AI/ML roles, aspiring AI engineers, and career changers moving into artificial intelligence roles.
Statistics are based on Uncodemy's internal records and publicly available review-platform information. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package.
No. Hubballi-Dharwad learners join this program live online. Uncodemy's classroom training centres are in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1), for learners who can travel.
No. This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.
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