Course Includes:
- Title: AI & ML
- Eligibility Criteria: Basic computer literacy
- Weekend:Live Online Training
- Duration:6 months
- Language:English
Become a machine learning and artificial intelligence expert with a guaranteed internship and placement assistance program.
Join The Best Machine Learning And Artificial Intelligence Course
About This Course:
Dive into the world of Artificial Intelligence and Machine Learning with our comprehensive full-stack AI and ML course. This program is meticulously designed to take you from the fundamentals of AI and ML to advanced applications. Whether it's building intelligent systems or mastering deep learning algorithms, this course equips you with the skills to become a tech innovator. Prepare to transform industries, solve complex challenges, and lead the AI revolution.
100% Placement Assistance and Internship:
Our program comes with guaranteed internship and placement assistance through Vika Talent Solutions. Read more about our career services.
Career Services:
Our career services include internship opportunities, placement assistance, access to exclusive job opportunities, career mentorship, training on soft skills, GitHub project portfolio, resume and LinkedIn optimization, letter of recommendation and mock interview preparation. Learn more about career services.
Job Oriented Curriculum:
Understand the fundamentals of machine learning (ML) and artificial intelligence (AI), Python, SQL and Tableau with their functional applications. We’ve built customized learning tracks to prepare you for artificial intelligence roles like data scientist, AI engineer, business analyst and machine learning engineer.
Hands-on: Solve Real-World Problems:
Implement what you’ve learned with over 15+ real-world projects and case studies specially formulated by our industry partners to make you a top candidate for potential employers.
Tools Covered:
MS Excel, MySQL, Python, Tableau, PowerBI, Jupyter, AWS, Hadoop, GitHub, ChatGPT
Who is this course for?
This course is for anyone who has the curiosity to learn AI and ML. We have meticulously designed the course to cater to both STEM and Non- STEM graduates.
Course Outcomes/What will you learn?
Acquire AI & ML skills, which will enable you to solve complex business problems end-to-end.
Job Roles?
Data Analyst, Data Scientist, Data Engineer, ML Engineer, AI Engineer, SQL Developer, Business Analyst, Tableau Developer, Jr. Data Scientist etc.
Bringing your ideas to life:
- Capstone Project 1
- Participate in our Hackathons; compete to solve real-world problems
- Sharpen your analytical skills
- Capstone Project 2 – solve problems with an actual company
- Pitch presentations
- Go-to-market with your solutions
- Kickstart with fundamentals of Data Science by going through the basics of coding and statistics.
- Thereafter, dive into the foundation of Data Science by mastering Excel, SQL, Python, Statistics/Machine Learning, Tableau and AWS.
- Further specialize in Machine Learning, Deep Learning and Artificial Intelligence.
Learning Journey
Tools Covered:
- Excel, SQL, Python,Tableau, PowerBI, Jupyter, AWS, Hadoop, GitHub, ChatGPT
Course Curriculum
Module 1: Foundation in AI and Data Handling
- Intro to AI: Definitions, history, applications
- Data Import and Cleansing: Importing, cleaning, and preprocessing data
- Formatting: Advanced formatting techniques for data presentation
- Formulas and Functions: Statistical, logical, and text functions
- Data Validation and Conditional Logic: Ensuring data quality and accuracy
- Advanced Calculations: Complex formulas and error handling
- Querying Data: SELECT statements, filtering, and sorting
- Aggregation and Joins: GROUP BY, HAVING, and various JOIN types
- Subqueries and Set Operations: Nested queries, UNION, INTERSECT
Module 2: Programming with Python
- Python Basics: Syntax, variables, data types, operators
- Data Handling with NumPy & Pandas: DataFrames, data manipulation, and cleaning
- Data Visualization: Matplotlib, Seaborn for creating charts, histograms, and box plots
- Advanced Topics: Lambda functions, error handling, and file operations
Module 3: R Programming for Data Science
- Introduction to R
- Data Manipulation
- Data Visualization
- Statistical Analysis in R
- Advanced R Programming
Module 4: Data Visualization and Interpretation
Tableau and PowerBI:
- Dashboard Design: Layouts, storytelling, and design principles
- Interactive Elements: Filters, actions, and parameters
- Advanced Visualizations: Custom charts, maps, and animations
Statistics for Data Science:
- Descriptive Statistics: Measures of central tendency, dispersion
- Inferential Statistics: Hypothesis testing, confidence intervals
- Probabilistic Models: Probability distributions and simulations
Module 5: Machine Learning and Predictive Analytics
- Supervised Learning: Regression, classification, model evaluation
- Unsupervised Learning: Clustering, dimensionality reduction
- Deep Learning: Neural networks, backpropagation, frameworks (TensorFlow/Keras)
- Natural Language Processing: Text preprocessing, sentiment analysis, topic modeling
Module 6: Cutting-Edge AI and Cloud Technologies
- Generative AI: Understanding generative models, building applications, and ethical considerations
- Big Data Technologies: Hadoop ecosystem, Spark basics, and data engineering
- Cloud Deployment with AWS: EC2, S3, IAM, and cloud architecture
Module 7: Ethical AI and Industry Preparedness
- Understanding bias and fairness in AI models
- Ethical considerations in AI development
- Implementing fairness-aware machine learning
- Case studies on ethical challenges in AI
Module 8: Prompt Engineering
- Foundations of Prompt Engineering
- Practical Applications of Prompt Engineering
- Advanced Prompt Engineering Techniques
- Ethical Considerations and Best Practices
- Hands-on Workshop and Project
Module 9: Artificial General Intelligence (AGI)
- Explore the Next Frontier in AI
- Foundations of AGI
- The Potential Impact of AGI
- Pathways to AGI
- Preparing for an AGI Future
- Interactive Workshop
What is Artificial Intelligence (AI)?
AI is not just a buzzword; it's the frontier of modern technology. At its core, AI is about creating intelligent machines that work and react like humans, encompassing everything from complex algorithms to machine learning and beyond. It's the science of making machines smart, empowering them to understand, learn, predict, and interact in ways that were once the realm of science fiction.
Why AI? The Game-Changer in Every Industry
AI is revolutionizing industries globally. From healthcare, where it predicts patient outcomes, to finance, where it drives smarter investments, AI's impact is profound and pervasive. It's not just about automation; it's about augmenting human capabilities, making processes more efficient, decisions more informed, and outcomes more successful.
The Future of Jobs: AI at the Helm
The career landscape is shifting dramatically, with AI at its epicenter. As AI transforms industries, it's not just displacing jobs; it's creating new ones. Roles like AI specialists, machine learning engineers, and data scientists are in high demand, and this is just the beginning. The future belongs to those who understand AI, harness its potential, and steer its evolution.
Why Learn AI Now? Don’t Regret Later
- Unprecedented Career Opportunities: AI expertise is not just desirable; it's becoming essential. From tech giants to startups, the demand for AI skills is skyrocketing, offering lucrative and fulfilling career paths.
- Be a Part of Revolutionary Change: AI is shaping the future. By learning AI, you're not just building a career; you're becoming a part of something world-changing.
- Versatility Across Industries: AI skills are transferable across sectors. Whether your passion lies in healthcare, entertainment, finance, etc. AI knowledge will make you an invaluable asset.
- Stay Ahead in the Job Market: As AI evolves, so does the job market. Learning AI now puts you ahead of the curve, ensuring you remain relevant and competitive.
- Realize Your Creative Potential: AI is not just about algorithms; it's about creative solutions to complex problems. If you love innovation, AI is your playground.